meta stringlengths 139 139 | red_pajama_subset stringclasses 1
value | prompt stringlengths 1 200 | answer stringlengths 0 518k |
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{'timestamp': '2020-10-15T02:14:53', 'yymm': '2005', 'arxiv_id': '2005.14493', 'language': 'en', 'url': 'https://arxiv.org/abs/2005.14493'} | arxiv | \section*{Acknowledgment}
We thank anonymous reviewers for their helpful comments to improve this research.
Yanhao Wang has been supported by the MLDB project of Academy of Finland (decision number: 3 | 22046).
The research of Raymond Chi-Wing Wong is supported by HKRGC GRF 16219816.
\bibliographystyle{IEEEtran}
\section{Introduction}
\label{sec:intro}
In many real-world applications such as multi-criteria decision
making~\cite{DBLP:journals/pvldb/NanongkaiSLLX10},
web search~\cite{DBLP:conf/edbt/StoyanovichYJ18},
... |
{'timestamp': '2021-08-24T02:12:27', 'yymm': '2005', 'arxiv_id': '2005.14490', 'language': 'en', 'url': 'https://arxiv.org/abs/2005.14490'} | arxiv | \section{Introduction} \label{sec:intro}
Algebra is a spacious part of the science of mathematics which provides the opportunity to express mathematical ideas precisely. In algebra, the Binomial expan | sion and Pascal's triangle are considered important.
Pascal's triangle is an arrangement of the binomial coefficients and one of the most known integer models.
Though it was named after French scientist Blaise Pascal, it was studied in ancient India, Persia, China, Germany, and Italy \cite{edwards}.\\[2ex]
In reality, ... |
{'timestamp': '2021-02-11T02:19:28', 'yymm': '2005', 'arxiv_id': '2005.14425', 'language': 'en', 'url': 'https://arxiv.org/abs/2005.14425'} | arxiv | \section{QM2 altered setting}
\label{Sec:QM2A}
The altered setting of the {QM2} \ model we study is motivated from \cite[Appendix C]{shah2019sequentialME}, and we describe it below.
We have $k$ bins, | one corresponding to each element of the support set, and a representative element in each bin. Any algorithm proceeds in rounds. In the $t^{th}$ round, the algorithm chooses a subset $\mathcal{C}(t)$ of these bins, and we compare the $t^{th}$ sample with the representative element from each bin in $\mathcal{C}(t)$. N... |
{'timestamp': '2020-06-01T02:08:41', 'yymm': '2005', 'arxiv_id': '2005.14449', 'language': 'en', 'url': 'https://arxiv.org/abs/2005.14449'} | arxiv | \section{Introduction}
Intracranial aneurysms (IAs) are abnormal bulges mainly located at vessel bifurcations and arising from weakened vessel wall.
Despite being highly prevalent ($\sim$3.2\% of popu | lation), most IAs do not rupture throughout patient's lifetime and are not associated to any symptoms. In case of rupture, however, the subsequent subarachnoid hemorrhage (SAH) has 50\% fatality rate. Imaging studies have shown that aneurysm size and shape are one of the key factors for prediction rupture risk and deci... |
{'timestamp': '2022-12-13T02:25:53', 'yymm': '2203', 'arxiv_id': '2203.15486', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15486'} | arxiv | \section{Introduction}
\label{sec:intro}
Feedback from active galactic nuclei (AGN) is widely believed to be a crucial element of the mass assembly of galaxies: with feedback acting on gas and st | ars forming from gas, feedback regulates the stellar mass growth of galaxies \citep{bower06,croton06,dimatteo08,sijacki07,dubois16, cielo18}. By leading to the acceleration or heating of the gas in the interstellar medium (ISM), feedback is
associated with winds and outflows that can even eject gas outside of galaxie... |
{'timestamp': '2022-03-30T02:29:52', 'yymm': '2203', 'arxiv_id': '2203.15421', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15421'} | arxiv | \section{Introduction}\label{intro}
Quantum computers are deemed promising technologies for solving industrial problems from various sectors like automotive, chemical, insurance, and technology. One | of the main problem domains for industrial problems is optimization, as identified in the report prepared by Quantum Technology and Application Consortium (QUTAC) \cite{bayerstadler2021industry}. Recently, there have been attempts to solve optimization problems using near-term quantum computers, through variational qua... |
{'timestamp': '2022-09-30T02:06:06', 'yymm': '2203', 'arxiv_id': '2203.15483', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15483'} | arxiv | \section{Introduction}
In speech communication people make use of two types of information to convey their intentions: \textit{what} is said (linguistic information) and \textit{how} it is said (p | aralinguistic information) \cite{mitra2019leveraging}. Paralinguistic information is expressed by suprasegmental features such as duration, intensity and pitch. Even with the same linguistic information, changes in these prosodic features can communicate different implications. One such implication involves emphasis. A... |
{'timestamp': '2022-06-30T02:13:24', 'yymm': '2203', 'arxiv_id': '2203.15431', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15431'} | arxiv |
\section{Introduction}
Automatic speech recognition (ASR) is the task of converting speech audio into its text transcripts. Early methodologies trained linguistic, acoustic, and lexicon modules sepa | rately \cite{intro1, intro2}; however, up until a decade ago, neural networks showed an improvement of performance while also being significantly easier to train, with all of the modules trained altogether in an end-to-end fashion \cite{e2e_asr1, e2e_asr2}. With the recent successful use of end-to-end models in ASR, ma... |
{'timestamp': '2022-06-16T02:19:56', 'yymm': '2203', 'arxiv_id': '2203.15398', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15398'} | arxiv |
\section{Background}
\label{sec:background}
\subsection{Event logs}
\label{ssec:log}
An \emph{event log} consists of traces representing executions of a process (a.k.a.~a case).
A trace is a seque | nce of \emph{events}, each referring to the execution of an activity (a.k.a.~an event class). Besides timestamps, indicating the time in which the event has occurred, events in a trace may have a data payload consisting of attributes, such as, the resource(s) involved in the execution of an activity, or other data rec... |
{'timestamp': '2022-03-30T02:26:47', 'yymm': '2203', 'arxiv_id': '2203.15363', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15363'} | arxiv | \section{Introduction}
\label{se:Introduction}
Topological solitons are particlelike excitations in continuum field theory~\cite{Sutcliffe_2004}, which can also be found in magnetic systems~\cite | {Nagaosa_NNANO2013,Mochizuki_Review,Finocchio_JPD2016,Wiesendanger_Review2016,Fert_NATREVMAT2017,Zhang_JPCM2020,Gobel_PP2021,Reichhardt_2021,Zhou_NSR2018,Li_MH2021,Tokura_CR2021,Yu_JMMM2021,Marrows_APL2021}.
For example, the magnetic skyrmion is a representative topological soliton in magnetic materials with chiral or... |
{'timestamp': '2022-11-29T02:13:07', 'yymm': '2203', 'arxiv_id': '2203.15368', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15368'} | arxiv | \section{Introduction}
Quantum computing is now widely considered as a new paradigm for solving computational problems,
which are believed to be intractable for classical computing devices~\cite{Fed | orov2022,OBrien2010,Monroe1998,Shor1994,Lloyd1996}.
The idea behind quantum computing is to use quantum physics phenomena~\cite{OBrien2010}, such as superposition and entanglement.
Specifically, in the quantum gate-based model, quantum algorithms are implemented as a sequence of logical operations under the qubits (qu... |
{'timestamp': '2022-03-30T02:31:08', 'yymm': '2203', 'arxiv_id': '2203.15464', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15464'} | arxiv | \chapter{Other Information}
\chapter*{Dédicace}
\noindent À mon très cher père, De tous les pères, tu es le meilleur. Tu as été et tu seras toujours
un exemple pour moi par tes qualités humaines, t | a persévérance et perfectionnisme. En
témoignage de brut d’années de sacrifices, de sollicitudes, d’encouragement de prières.
Pourriez vous trouver dans ce travail le fruit de toutes vos peines et tous vos efforts. En ce
jour, j’espère réaliser l’un de tes rêves. Aucune dédicace ne saurait exprimer mes respects,
ma rec... |
{'timestamp': '2022-03-30T02:30:04', 'yymm': '2203', 'arxiv_id': '2203.15429', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15429'} | arxiv | \section{Introduction}
Differential privacy (DP) \cite{dwork2006calibrating} is a mathematical standard for quantifying the privacy performance of a data publishing or data analysis mechanism \cite{s | urvey_2017}. To conceal the presence of any individual in the dataset, DP mechanisms perturb the query response or the outcome of an analysis according to a random distribution. The main DP parameter is called $\varepsilon$. If $\varepsilon$ is small, then any mechanism output is almost as likely to occur whether or... |
{'timestamp': '2022-03-30T02:31:01', 'yymm': '2203', 'arxiv_id': '2203.15462', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15462'} | arxiv |
\section{Preliminaries}
In this section we summarize the notation that we use throughout the paper, and describe the fundamental notions of vector-valued modular forms. For the basics of classical m | odular forms, we refer to the book by Miyake~\cite{miyake-1989}, and the book by Diamond and Shurman~\cite{diamond-shurman-2005}. We adopt some notation from~\cite{diamond-shurman-2005} without further mentioning; for example, $\Gamma_\infty$ denotes the parabolic subgroup of~$\SL{2}(\ensuremath{\mathbb{Z}})$ including... |
{'timestamp': '2022-04-22T02:36:20', 'yymm': '2203', 'arxiv_id': '2203.15409', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15409'} | arxiv | \subsection{Technical definitions}
\label{App:def}
\begin{Definition}[Admissible scheduling sequences]
\label{asm:A1}
A scheduling process $\p$ is called an \emph{Admissible scheduling sequence} i | f it satisfies the following properties:
\begin{enumerate}
\item
\label{gen:filt:ass_new:cond1:def1}
Denote by $\mathscr{F}^{\p,-}_{t}$ the $\sigma$-algebra generated by the random variables $\{\p(k) \}_{k < t}$. There exists positive numbers
$\{p_{\sigma}\}_{\sigma \in \Sigma}$ such that for any $w,v \in \Sigma... |
{'timestamp': '2022-10-28T02:10:54', 'yymm': '2203', 'arxiv_id': '2203.15410', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15410'} | arxiv | \section{Introduction}\label{sec:intro}
Tracing back from the seminal work by Monderer and Shapley
\cite{monderer1996potential}, potential games represent a broad class
of noncooperative games charac | terized by the existence of a
real-valued function, the \emph{potential function}, such that any
collective strategy profile minimizing the underlying function
coincides with a Nash equilibrium of the game. Potential games hence
provide a means to naturally model many control-theoretic applications
\cite{Mar09} such as... |
{'timestamp': '2022-03-30T02:27:20', 'yymm': '2203', 'arxiv_id': '2203.15383', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15383'} | arxiv | \section{Introduction}
Gliomas are the most common primary brain malignancies and are a serious threat to public health. Accurate identification of tumors can help doctors achieve more reasonable dia | gnosis and treatment strategies. As a high-accuracy identification method, tumor segmentation can help in a variety of clinical applications, such as radiation therapy planning \cite{kiljunen2020deep, kuisma2020validation, agn2019modality}, tumor growth monitoring \cite{kickingereder2019automated}, intra-operative assi... |
{'timestamp': '2022-03-30T02:28:39', 'yymm': '2203', 'arxiv_id': '2203.15407', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15407'} | arxiv | \section{Introduction}\label{intro}
Let $\mathbb{Z}_{p^s}$ be the ring of integers modulo $p^s$ with $p$ prime and $s\geq1$. The set of
$n$-tuples over $\mathbb{Z}_{p^s}$ is denoted by $\mathbb{Z}_{p^ | s}^n$. In this paper,
the elements of $\mathbb{Z}^n_{p^s}$ will also be called vectors.
The order of a vector $\mathbf u$ over $\mathbb{Z}_{p^s}$, denoted by $o(\mathbf{u})$, is the smallest positive integer $m$ such that $m \mathbf{u} ={\mathbf{0}}$.
A code over $\mathbb{Z}_p$ of length $n$ is a nonempty subset of $... |
{'timestamp': '2022-03-31T02:15:33', 'yymm': '2203', 'arxiv_id': '2203.15513', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15513'} | arxiv | \section{Introduction}
The solar corona is filled with dynamic magnetized plasma, and hosts a variety of disturbances/waves that can be driven by all motions of the ubiquitous plasma. One of the most | spectacular waves is the extreme ultraviolet (EUV) wave that appears as the traveling coronal disturbance from its erupting source region in the solar atmosphere. Hints about the existence of EUV waves were initially deduced from indirect evidences of sympathetic solar activities, type II radio bursts, and H$\alpha$ Mo... |
{'timestamp': '2022-04-14T02:22:14', 'yymm': '2203', 'arxiv_id': '2203.15401', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15401'} | arxiv | \section{Introduction}
Neural image and video compression research has made great strides over the past few years. In particular, the latest models leverage advances in deep generative modeling to p | roduce neural compression models, which outperform their state-of-the-art engineered counterparts by significant margins in rate-distortion performance when taking human perceptual quality into account \cite{mentzer2020high, mentzer2021towards}. Even larger gains can be achieved by learning a domain-specific compressio... |
{'timestamp': '2022-03-30T02:33:10', 'yymm': '2203', 'arxiv_id': '2203.15509', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15509'} | arxiv | \section{Introduction} $\ \ \ $
\textsc{Firefighter} Problem on a graph is broadly described by saving vertices of a graph from fire by placing fire fighters on them, given a source vertex of fire an | d fire spreading to every neighbour of a burning vertex unless fire fighters are placed on them. Firefighter Problem can be classified in two main categories depending on the set of vertices to be saved by it, i.e. \textsc{Max-Save} and \textsc{Min-Budget}. In the \textsc{ Max-Save} version, the goal is to save maximu... |
{'timestamp': '2022-03-30T02:29:47', 'yymm': '2203', 'arxiv_id': '2203.15416', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15416'} | arxiv | \section{Introduction}
\label{sec:introduction}
A precise understanding of hadronic interactions over a wide energy range is among the most important parameters for solving the problem of ultra-high- | energy cosmic rays (UHECRs). The Pierre Auger Observatory and Telescope Array observe UHECRs with energies above $10^{18}$ eV using the extensive air shower technique, and they have reported their observation results with high-statistics data~\cite{PAO_spectrum, PAO_Composition_2014_1, TA_Composition_2018}. However, th... |
{'timestamp': '2022-03-30T02:30:54', 'yymm': '2203', 'arxiv_id': '2203.15453', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15453'} | arxiv | \section{Introduction}
\noindent Let $\mathbf{M}=(c_{i,j})_{i,j=0}^{\infty}$ be an infinite
Hermitian matrix, i.e., $c_{i,j}= \overline{c_{j,i}}$ for all
$i,j$ non-negative integers. Following \cit | e{EGT1} we say that an infinite hermitian matrix $\mathbf{M}$ is positive definite, in short an HPD matrix (resp. positive semidefinite, in short HSPD matrix) if
$\vert \mathbf{M}_n \vert >0$ (resp. $\vert \mathbf{M}_n \vert \geq 0$ for all $n\geq 0$), where $\mathbf{M}_n$ is the truncated matrix of size $(n+1)\times... |
{'timestamp': '2022-03-30T02:27:17', 'yymm': '2203', 'arxiv_id': '2203.15381', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15381'} | arxiv | \section{Introduction}
Mimicking human capability to recognize things never seen before, zero-shot video classification (ZSVC) only trains models on videos of seen classes and makes predictions on uno | bserved ones \cite{liu2011recognizing,vgan,multi,mettes2017spatial,mettes2021object,gao2020learning,kim2021daszl,zhu2018towards}.
Correspondingly, existing ZSVC models map visual and semantic features into a unified representation, and hope the association can be generalized to unseen classes \cite{zhu2018towards,hahn2... |
{'timestamp': '2022-03-30T02:29:57', 'yymm': '2203', 'arxiv_id': '2203.15424', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15424'} | arxiv | \section{Introduction}\label{sec:introduction}
According to \cite{Corbett:2000:Number}, grammatical number in English can be conceptualized as a `feature' \citep[see also][]{Jakobson:1928} with two | opposing values: singular and plural. For English, the formal realization of the nominal plural is the addition of the suffix \textit{-s}, a marker whose absence signals the nominal singular. Textbooks such as \citet{Lieber:2010} and \citet{aronoff2011morphology} take the semantics of plurality for granted and call at... |
{'timestamp': '2022-03-30T02:30:34', 'yymm': '2203', 'arxiv_id': '2203.15442', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15442'} | arxiv |
\subsection{Visual Grounding}
The visual grounding methods can be categorized into two-stage methods and one-stage methods.
\textbf{Two-stage methods} divide the visual grounding process into two | steps: generation and ranking.
Specifically, a module such as selective search~\cite{uijlings2013selective}, region proposal network~\cite{ren2015faster}, or pre-trained detector~\cite{girshick2014rich,girshick2015fast,ren2015faster} is firstly used to generate proposals that contain objects.
Then a multimodal ranking ... |
{'timestamp': '2022-03-30T02:31:00', 'yymm': '2203', 'arxiv_id': '2203.15459', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15459'} | arxiv | \section{Introduction}
Open Source Software (OSS) has become ubiquitous and provides developers with a free-to-use platform for open public collaboration. With project developers spread across the wo | rld, OSS projects bring in diverse perspectives which are important for the success and sustainability of a project. In terms of OSS, GitHub has become the most popular web-based open-source software for developers to store and manage their code as well as track and control changes to their code.\\
In software develop... |
{'timestamp': '2022-05-10T02:09:10', 'yymm': '2203', 'arxiv_id': '2203.15380', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15380'} | arxiv | \section{Introduction}
In recent years, many computer vision (CV) researchers make efforts to design CV-oriented vision Transformer to surpass the performance of the convolutional neural networks (CNN | s).
Due to a high capability in modeling the long-range dependencies, vision Transformer achieves prominent results in diversified vision tasks, such as image classification \cite{ViT,Deit,TNT,Swin,Twins,CSWin}, semantic segmentation \cite{Segformer,zheng2021rethinking,wang2021max}, object detection \cite{DETR,zhu2020d... |
{'timestamp': '2022-03-30T02:33:01', 'yymm': '2203', 'arxiv_id': '2203.15502', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15502'} | arxiv | \section{Introduction}
Modern warfare situations are fluid and require rapid ad hoc countermeasure decisions. Military technology is also advancing with the development of artificial intelligence, an | d the future warfare can be said to be dominated by the participation of few combatants and the unmanned nature of actual combat. Here to use NetLogo software simulation to build a dynamic projection of both sides tanks in complex terrain confrontation thought\cite{b1}, both sides confrontation terrain environment as s... |
{'timestamp': '2022-03-30T02:33:10', 'yymm': '2203', 'arxiv_id': '2203.15510', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15510'} | arxiv | \section{Introduction}
\label{sec:introduction}
The success of deep learning and machine learning (ML) in general in recent years is attributed to the availability of large datasets, more efficient a | lgorithms, and specialized hardware \cite{Chollet2017}. Based on the current hype, more and more companies try to integrate ML into their products, leading to an ever increasing demand of data scientists. Software developers who already know the targeted application domain could fill this gap but typically lack a scien... |
{'timestamp': '2022-07-29T02:09:10', 'yymm': '2203', 'arxiv_id': '2203.15371', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15371'} | arxiv | \section{Introduction}
Self-supervised pre-training \cite{beit,simclr,mocov3,ibot,vicreg,barlow,clip} is attracting emerging attention due to its effectiveness and flexibility in exploiting large-scal | e uncurated data, which demonstrates its superiority to supervised pre-training in a wide range of downstream applications, such as classification, detection, and segmentation, \textit{etc.}
Recently, the introduction of vision Transformers \cite{vit,deit,swinT} brings about a new revolution to self-supervised learnin... |
{'timestamp': '2022-05-10T02:41:41', 'yymm': '2203', 'arxiv_id': '2203.15386', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15386'} | arxiv | \section{Introduction}
\label{sec_intro}
Many real-world applications can be modeled as multiobjective combinatorial optimization (MOCO) problems~\citep{ehrgott2000survey}. Examples include the multi | objective traveling salesman problem (MOTSP)~\citep{lust2010multiobjective}, the multiobjective vehicle routing problem (MOVRP)~\citep{jozefowiez2008multi} and the multiobjective knapsack problem (MOKP)~\citep{bazgan2009solving}. These problems have multiple objectives to optimize, and no single solution can optimize a... |
{'timestamp': '2022-03-30T02:28:31', 'yymm': '2203', 'arxiv_id': '2203.15402', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15402'} | arxiv | \section{Introduction}
\label{sec:Introduction}
Deep learning (DL) has brought new opportunities for modeling and forecasting the dynamics of complex multiscale systems due to its excellent performan | ce in non-linear function approximation from examples. The emergence of various architectures,~\eg convolutional neural networks (CNNs)~\cite{Lecun1998} and long short-term memory (LSTM)~\cite{hochreiterschmidhuber}, has led to the development of a variety of DL-based frameworks for modeling complex physical systems by... |
{'timestamp': '2022-06-30T02:11:40', 'yymm': '2203', 'arxiv_id': '2203.15405', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15405'} | arxiv | \section{Introduction}\label{intro}
Speech sound disorder (SSD) is a common type of communication disorders affecting 2.5\% - 13.8\% of children aged below 8 \cite{kim2017prevalence,eadie2015speech | ,karbasi2011prevalence, wren2016prevalence}.
When growing up, children are expected to master the language's speech sounds in stages and be able to self-correct the pronunciation mistakes.
A significant portion of children may encounter persistent difficulties in correctly producing certain speech sounds after the exp... |
{'timestamp': '2022-03-30T02:27:28', 'yymm': '2203', 'arxiv_id': '2203.15388', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15388'} | arxiv | \section{Introduction}
The explosion of smart devices and the ever-growing sensing and computing technologies have motivated the development of indoor location-based services (LBS)\cite{8409950}. Wi | th the coming of beyond 5G (B5G) and internet of things (IoT), LBS becomes indispensable. However, it is challenging to achieve high localization accuracy using traditional localization approaches. For example, the weak signals emitted from satellite cannot work well in indoor environments, making global navigation... |
{'timestamp': '2023-02-10T02:05:41', 'yymm': '2203', 'arxiv_id': '2203.15481', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15481'} | arxiv | \section{Introduction}
\label{sec:introduction}
Recent large surveys have revealed dozens of stellar streams in the halo of the Milky Way (MW),
which are one-dimensional substructures of halo stars |
resulting from disruption of merging stellar systems, such as dwarf galaxies or globular clusters (GCs) \citep{Malhan2018a}.
These stellar streams not only
confirm the prediction of the standard $\Lambda$CDM cosmology
that the galaxies form through hierarchical mergers,
but also
allow measurement of the large- a... |
{'timestamp': '2022-08-29T02:13:36', 'yymm': '2203', 'arxiv_id': '2203.15448', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15448'} | arxiv |
\section{Evaluation}\label{sec:evaluation}
We have implemented \textsc{ZK-SecreC}\xspace compiler in about 20 kLoC of Haskell code, which includes the parser, type-checker, \lstinline+@public+ preco | mputation engine, and translator to circuits. With it, we illustrate the expressiveness and efficiency of the \textsc{ZK-SecreC}\xspace language on a number of small examples. We have implemented them, and translated them to arithmetic circuits. The \textsc{ZK-SecreC}\xspace source of our examples is given in the suppl... |
{'timestamp': '2022-03-30T02:26:40', 'yymm': '2203', 'arxiv_id': '2203.15361', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15361'} | arxiv |
\section{Limitations \& Future Work}
While our proposed pre-training method demonstrates superior performance compared with the state-of-the-art methods, there still exist several limitations. Since | our approach relies on 3D geometric consistency to guide the learning of image representations, it can hardly be applied directly on the datasets such as ImageNet\cite{deng2009imagenet}, where 3D reconstructions are not applicable. Besides, in this work, we use a simple 3D clustering method for computing geometric cons... |
{'timestamp': '2022-03-30T02:31:16', 'yymm': '2203', 'arxiv_id': '2203.15468', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15468'} | arxiv | \section{Introduction}
Topological data analysis (TDA) has been used in music analysis recently based on persistent homology \cite{Bigo,Bergomi,Bergomithesis}. Persistent homology is an efficient conc | ept for music analysis as it captures the cyclic structures of data \cite{ZC2005,Cohen,EHarer}.
In \cite{TPJ}, TDA was used to analyze Korean {\it Jung-Ak} music for the first time. {\it Jung-Ak} music\footnote{The literal meaning of {\it Jung Ak} is the {\it right} music.} is a type of music that was played at Royal... |
{'timestamp': '2022-07-15T02:10:48', 'yymm': '2203', 'arxiv_id': '2203.15496', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15496'} | arxiv | \section{Introduction}
\textit{Count-Min sketch} is a hash-based data structure to represent a dynamically changing associative array $\boldsymbol{a}$ of counters in an approximate way. The array $\b | oldsymbol{a}$ can be seen as a mapping from some set $K$ of keys to $\mathbb{N}$, where $K$ is drawn from a (large) universe $U$. The goal is to support {\em point queries} about the (approximate) current value of $\boldsymbol{a}(p)$ for a key $p$. Count-Min is especially suitable for the streaming framework, when cou... |
{'timestamp': '2022-08-03T02:01:26', 'yymm': '2203', 'arxiv_id': '2203.15474', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15474'} | arxiv | \section{INTRODUCTION}
With the rise of autonomous systems, assuring their safety is of paramount importance. For instance, an autonomous drone should not crash during its mission, or a self-driving v | ehicle should not collide with other vehicles. Formulating constraints for these applications to ensure safety is a difficult task. These intelligent systems often use data-driven solutions for learning and adapting online. However, it is unclear how to principally and efficiently encode data into the paradigm of safet... |
{'timestamp': '2022-07-12T02:38:18', 'yymm': '2203', 'arxiv_id': '2203.15379', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15379'} | arxiv | \section{Introduction}
In the last few years, multi-speaker text-to-speech (TTS) models have been proposed that can create entirely new high-quality voices \cite{jia2018transfer, stanton2021speaker}. | While these approaches can generate unique voices that are distinct from voices seen during training, it is unclear how to create a personalized voice that fits one's own mental representation. The existence of such a tool would open the door to numerous creative and practical applications, such as developing customiz... |
{'timestamp': '2022-03-30T02:32:07', 'yymm': '2203', 'arxiv_id': '2203.15484', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15484'} | arxiv | \section{Introduction}\label{Sec:Introduction}
Implementing time evolution operators under a large-scale Hamiltonian is one of the most important tasks in noisy intermediate-scale quantum (NISQ) devi | ces \cite{Preskill2018-uo} and larger fault-tolerant quantum computers to exploit their computational power.
The task is computationally hard for classical computers; despite the enormous effort toward its efficient computation, it generally takes resources that are exponential to the system size.
On the other hand, q... |
{'timestamp': '2022-06-08T02:13:12', 'yymm': '2203', 'arxiv_id': '2203.15439', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15439'} | arxiv |
\section{Introduction}
\label{sec:intro}
Event cameras are bio-inspired vision sensors developed in recent years \cite{brandli2014240}.
Different from traditional frame-based cameras which capture a | scene as a synchronous sequence of 2D images, event cameras asynchronously measure brightness changes on each pixel and output \emph{event} streams.
An event encodes the timestamp, pixel coordinates and polarity of brightness changes.
Compared with traditional cameras, event cameras have numerous advantages: extremely... |
{'timestamp': '2022-03-30T02:27:11', 'yymm': '2203', 'arxiv_id': '2203.15378', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15378'} | arxiv | \section{Introduction}
\label{Sec:1}
Agarwal and Andrews \cite{RRIN} gave some identities for Rogers-Ramanujan type partitions with n copies of n, which correspond to colored partitions. Sandon and | Zanello \cite{WCPI} proved identities on the colored case of some partition types. This gave us the idea of combining colored partitions and Roger-Ramanujan type partitions and apply a constructive method to find identities on those partitions.
Rogers-Ramanujan identities can be interpreted using partitions in which... |
{'timestamp': '2022-03-30T02:27:01', 'yymm': '2203', 'arxiv_id': '2203.15372', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15372'} | arxiv | \section{Introduction and main results}
Let $\theta$ be an inner function in the sense of Beurling, $\Lambda = \{\lambda_k\}_{k \ge 0}$
be a sequence of distinct points in the open unit disc ${\mathb | b D}$ satisfying the Blaschke condition,
\begin{equation}
\sum_{\lambda\in\Lambda}(1-|\lambda|)<\infty,
\tag{B}
\end{equation}
(from now on we write $\Lambda \in (B)$ if a set $\Lambda$ satisfies the Blaschke condition $(B)$),
and let $B_\Lambda$ be the corresponding Blaschke product. We are interested in geometric ... |
{'timestamp': '2022-03-30T02:28:07', 'yymm': '2203', 'arxiv_id': '2203.15393', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15393'} | arxiv | \section{Introduction}
\label{SEC:1}
\subsection{Viscous nonlinear wave equations}
In this paper, we consider the following nonlinear wave equation (NLW) on
the two-dimensional torus
$\mathbb{T}^ | 2 = (\mathbb{R}/\mathbb{Z})^2$, augmented by viscous effects:
\begin{equation}
\begin{cases}
\partial_t^2 u + (1-\Delta) u + D \partial_t u + |u|^{p-1}u = \phi \xi \\
(u, \partial_t u)|_{t=0} = (u_0, u_1),
\end{cases}
\label{xNLW1}
\end{equation}
\noindent
where $p > 1$, $D = |\nabla| = \sqrt{-\Delta}$, and $\xi$ deno... |
{'timestamp': '2023-02-09T15:19:58', 'yymm': '2203', 'arxiv_id': '2203.15498', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15498'} | arxiv | \section{Introduction}
The adversarial machine learning (AML) domain has been expanding rapidly recently due to increased adversarial attacks on various traditional ML and deep learning (DL) systems. | An adversarial attack is a process of causing well-planned misclassifications from a target classifier. In short, let us assume a ML system $f$, input sample $x_{clean}$, which is a natural input (Non-adversarial) and its true label $y_{true}$. The ML system correctly classifies this input i.e. $f(x_{clean})=y_{true}$.... |
{'timestamp': '2022-03-30T02:31:15', 'yymm': '2203', 'arxiv_id': '2203.15466', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15466'} | arxiv | \section{Introduction}
Fluctuation is one of the most important quantities in nonequilibrium statistical mechanics.
A milestone is the fluctuation-response relation in the linear response regime~\ci | te{Joh28}, which connects the fluctuation of currents to the response of currents to small external perturbations.
The fluctuation-response relation was first proved on the basis of the consistency with the second law of thermodynamics~\cite{Nyq28}, and later its microscopic foundation was revealed~\cite{Tak52, Kub57}.... |
{'timestamp': '2022-03-30T02:31:50', 'yymm': '2203', 'arxiv_id': '2203.15478', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15478'} | arxiv | \section{Introduction}
In strong-field ionization of atomic and molecular targets by intense laser pulses, the time-dependent Schr{\"o}dinger equation (TDSE) is often used within the single-active-e | lectron (SAE) approximation to describe the ionization process. In this approach, the SAE orbital is propagated in the combined potential of the atom or molecule and the external field. SAE potentials have been successfully applied for some atoms~\cite{TongJPB05,PhysRevLett.81.1207} and molecules~\cite{PhysRevA.81.0334... |
{'timestamp': '2022-03-30T02:27:28', 'yymm': '2203', 'arxiv_id': '2203.15387', 'language': 'fr', 'url': 'https://arxiv.org/abs/2203.15387'} | arxiv | \section*{Remerciements}\label{sec:Remerciements}
\addcontentsline{toc}{chapter}{\nameref{sec:Remerciements}}
\vspace{1cm}
Je tiens à remercier toutes les personnes qui ont contribué au succès de mon | stage et qui m’ont aidé lors de la rédaction de ce mémoire.
Je remercie tout particulièrement M. Luca Zaccarian, mon référent au LAAS, qui m'a soumis un sujet, l'a guidé d'un point de vue scientifique et m'a accompagné tout au long de mon travail.
Ma reconnaissance va également à M. Gautier Hattenberger, mon tuteur ... |
{'timestamp': '2022-03-30T02:32:31', 'yymm': '2203', 'arxiv_id': '2203.15489', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15489'} | arxiv | \section{Introduction}
\label{sec:intro}
In the context of increasing demand for seasonal migrant farm labour in member European Union states and its supply side disruption due to the pandemic~\cite | {granier2021migrant}, autonomous crop monitoring has gained further importance for plant phenotyping, yield monitoring, crop protection, and harvesting.
The availability of different sensors and systems has enabled crop monitoring at different levels from global low resolution satellite mapping~\cite{rembold2013using} ... |
{'timestamp': '2022-04-07T02:21:09', 'yymm': '2203', 'arxiv_id': '2203.15491', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15491'} | arxiv | \subsection{Emerging result}
\end{abstract}
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<concept_id>10010147.10010257</concept_id>
<concept_desc>Computing methodologies~Machin | e learning</concept_desc>
<concept_significance>300</concept_significance>
</concept>
<concept>
<concept_id>10011007.10011006.10011072</concept_id>
<concept_desc>Software and its engineering~Software libraries and repositories</concept_desc>
<concept_signifi... |
{'timestamp': '2022-03-30T02:30:12', 'yymm': '2203', 'arxiv_id': '2203.15434', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15434'} | arxiv | \section*{Acknowledgments}
This work was financed by the Baden-Württemberg Stiftung (BWS) for the ABEM project under grant MET-ID12–ABEM.
\clearpage
\setlength{\bibsep}{0.0pt}
{\small
\bibliograph | ystyle{plainnat}
\section{#1}\label{sec:#2}\vspace{-.1cm}}
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... |
{'timestamp': '2023-01-11T02:09:23', 'yymm': '2203', 'arxiv_id': '2203.15357', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15357'} | arxiv | \section{Introduction}
The atomic parity non-conservation (PNC) experiment makes a significant contribution to testing the standard model (SM) in a low energy regime.
By exchanging Z bosons between b | ound electrons and nuclear quarks in the electroweak interaction, the PNC effect increases rapidly with nuclear charge, so the PNC measurement in heavy atoms has become one of the most promising approaches to search for physics beyond SM \cite{bouchiat1974weak,bouchiat2011atomic,sandars1987parity}.
The atomic PNC sign... |
{'timestamp': '2022-08-10T02:10:37', 'yymm': '2203', 'arxiv_id': '2203.15436', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15436'} | arxiv | \section{Introduction}
Speaker embeddings are low-dimensional vectors that capture the voice characteristics of a person. Their role in speech technology is vital, especially in speaker recognition, d | iarization, separation, as well as in multi-speaker text-to-speech and voice conversion. Speaker embeddings are extracted with neural network architectures, such as TDNNs and ResNets \cite{snyder2018Xvectors,ecapa-tdnn,chung2018voxceleb2}. In a typical setting, the networks are trained in a supervised way, with a train... |
{'timestamp': '2022-03-30T02:29:41', 'yymm': '2203', 'arxiv_id': '2203.15414', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15414'} | arxiv | \section{Introduction}
Migration is a megatrend of our time. In the ongoing globalization, the number of international migrants has reached unprecedented heights. International migration is a complex | phenomenon that includes both \textit{voluntary migration}~\cite{ottonelli2013migration}, e.g., to enhance career opportunities, and \textit{forced migration}, e.g., caused by conflicts~\cite{yazgan2015syrian} and climate changes~\cite{abel2019climate}. While the Covid-19 pandemic has temporarily slowed migration flows... |
{'timestamp': '2022-09-15T02:18:19', 'yymm': '2203', 'arxiv_id': '2203.15499', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15499'} | arxiv | \section{Introduction}
In the Standard Model (SM), the coupling of the electroweak (EW) gauge bosons to leptons is flavor universal, a property known as lepton flavor universality (LFU). The SM's exte | nsion is expected to violate this property, and experimental observations of such processes will be direct evidence of physics beyond the SM (BSM). Even though LHC searches have not found any direct hints for new particles, indirect searches for new physics have become an increasingly important pathway. Intriguing hint... |
{'timestamp': '2022-03-30T02:26:30', 'yymm': '2203', 'arxiv_id': '2203.15358', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15358'} | arxiv | \section{Introduction}
The computational cost of direct numerical simulations can be reduced by using reduced order models. The proper orthogonal decomposition (POD) method is based on a reduced basis | (snapshots) that are computed by means of a full order method (FOM).
In this paper, we study the numerical approximation of incompressible flows with POD methods.
We consider the Navier-Stokes equations
\begin{align}
\label{NS} \partial_t\boldsymbol u -\nu \Delta \boldsymbol u + (\boldsymbol u\cdot\nabla)\boldsymbol... |
{'timestamp': '2022-11-23T02:13:54', 'yymm': '2203', 'arxiv_id': '2203.15433', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15433'} | arxiv | \section{Introduction}
Ever since the first run of the heavy-ion collision experiments, a lot of studies have been carried out describing and analyzing the data that we get from these experiments \ | cite{expt1, expt2,expt3}.
The beam energy scan program of RHIC at BNL(Brookhaven National Laboratory) runs the collider experiments using Au-Au nuclei at collision energies from $7.7$ GeV to $200$ GeV \cite{qgp, BES1,BES2,BES3}. One of their important aims is to search for the critical point in the QCD phase diagra... |
{'timestamp': '2022-05-10T02:09:28', 'yymm': '2203', 'arxiv_id': '2203.15394', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15394'} | arxiv | \section{Introduction}
Let $Y$ be a marked Riemann surface structure on a closed oriented surface $S$ of genus $g$ at least two, and let $\mathrm{QD}(Y)$ be the space of the holomorphic quadratic di | fferentials on $Y$ is a complex vector space of dimension $3g-3$.
Then $\mathrm{QD}(Y)$ is identified with the space $\mathcal{P}_Y$ of all $\mathbb{C}{\rm P}^1$-structures on $Y$, and it analytically maps to the $\mathrm{PSL}_2\mathbb{C}$-character varieties $\rchi$ of $S$ via the holonomy map.
Many interesting prop... |
{'timestamp': '2022-03-30T02:30:45', 'yymm': '2203', 'arxiv_id': '2203.15449', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15449'} | arxiv | \section{Introduction}
Understanding the origin of the small, positive value of dark energy density measured at present \cite{Planck:2018vyg} is one of the most challenging open problems in fundament | al physics. One could hope that splitting the problem into two parts might help in seeking for its solution, but this is not quite the case. Indeed, on the one side one should understand how to embed a positive cosmological constant, or more generally a positive background energy density, into a consistent UV complete ... |
{'timestamp': '2022-03-30T02:28:11', 'yymm': '2203', 'arxiv_id': '2203.15399', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15399'} | arxiv | \section{Experimental Validation Results}
\subsection{Experimental Setup}
\begin{figure}[t!]
\centering
\includegraphics[width=\linewidth]{image/Setup_all.png}
\caption{The designed and realized expe | rimental setup for the proposed TR-based multi-user MISO scheme.}
\label{fig:setup}
\end{figure}
To evaluate the performance of the proposed ITRDMA precoding scheme, we have implemented an experimental setup to first sound the channel and then to TR-precode the transmitted signals, as shown in Fig.~\ref{fig:setup}. Th... |
{'timestamp': '2022-03-30T02:31:32', 'yymm': '2203', 'arxiv_id': '2203.15469', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15469'} | arxiv | \section{Introduction}
Semantic segmentation of 3D point clouds is the process of predicting a class for every point in the cloud. This is especially challenging for 3D point clouds, due to unders | ampling of the scene and a lack of explicit structure in the cloud.
Current approaches rely on projecting the 3D point cloud to 2D images \cite{shi2020spsequencenet,duerr2020lidar} or embed it into a dense volumetric grid \cite{tchapmi2017segcloud,rethage2018fully}. These approaches are, however, suboptimal since 2D... |
{'timestamp': '2022-03-30T02:29:41', 'yymm': '2203', 'arxiv_id': '2203.15413', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15413'} | arxiv | \section{Introduction}
\label{sec:level1}
Ptychography is a coherent diffractive imaging (CDI) method that has found use in light, x-ray and scanning transmission electron microscopies (STEM). The met | hod combines whole diffraction patterns from spatially overlapping regions to reconstruct the structure of a specimen for arbitrarily large fields of view \cite{rodenburg2008ptychography}, with many advantages over other imaging methods \cite{humphry2012ptychographic,lozano2018low,jiang2018electron,zhou2020low}. The d... |
{'timestamp': '2022-03-30T02:27:04', 'yymm': '2203', 'arxiv_id': '2203.15373', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15373'} | arxiv | \section{Introduction}
Solid-state superconducting circuit studies the interaction between
artificial atoms and quantized electromagnetic fields in the microwave
frequency domain \cite{RevModPhys | 93/025005}. This architecture has emerged as one of the leading platforms for realizing quantum computation and simulation \cite{Arute2019,PhysRevLett127/180501}. Commonly,
superconducting qubits are used for encoding quantum information, with
superconducting resonators acting as date buses. However, the efficient
g... |
{'timestamp': '2022-07-08T02:07:14', 'yymm': '2203', 'arxiv_id': '2203.15452', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15452'} | arxiv | \section{Introduction}
Dark matter is an effective paradigm to explain the various observations in galactic rotation curve, cosmic large scale structures, and the gravitational lensing of clusters \c | ite{grc1,lss1,lensing1,lensing2}. Studies of the primordial nucleosynthesis \cite{nucl} and the power spectrum of cosmic microwave background (CMB) \cite{Planck2018} also provide strong evidence that there is abundant missing matter whose present total amount is about five times that of visible matter described by the ... |
{'timestamp': '2022-03-30T02:30:35', 'yymm': '2203', 'arxiv_id': '2203.15444', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15444'} | arxiv | \section{Dirichlet forms associated with one-dimensional diffusions}
Let $I:=\left\langle l,r\right\rangle$ be an interval where $l$ or $r$ may or may not be in $I$ and $m$ be a positive Radon measur | e on $I$ with full topological support. The notation $m(l+)<\infty$ (resp. $m(r-)<\infty$) means that for some $\varepsilon>0$, $m\left((l,l+\varepsilon)\right)<\infty$ (resp. $m\left((r-\varepsilon, r)\right)<\infty$). Otherwise write $m(l+)=\infty$ (resp. $m(r-)=\infty$). When $l=-\infty$ (resp. $r=\infty$), ... |
{'timestamp': '2022-03-30T02:32:32', 'yymm': '2203', 'arxiv_id': '2203.15492', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15492'} | arxiv | \section{Introduction and main result}
This paper is concerned with the existence of periodic sign-changing solutions to a particular prototype of overdetermined boundary value problem on strip | domains of the plane. In 1971, Serrin \cite{Serrin} proved by Alexandrov \cite{Alexandrov} moving plane method that the only bounded and
regular domains in the Euclidean space $\mathbb{R}^N$ where the overdetermined problem \begin{equation}\label{eq:ProA3}
-\Delta u=1\quad \text{ \quad in $\Omega$}
\end{e... |
{'timestamp': '2022-03-31T02:19:31', 'yymm': '2203', 'arxiv_id': '2203.15355', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15355'} | arxiv | \section{Introduction}
Continual learning (CL) is a practical learning scenario under a continuous and online stream of annotated data~\cite{lopez2017gem, prabhu2020gdumb, bang2021rainbow}.
Due to con | tinuously changing data distribution, the CL methods are known to suffer from the stability-plasticity dilemma due to catastrophic interference and resistance to learning new information~\cite{mccloskey1989catastrophic,goodfellow2013empirical}.
In addition, when the CL model is deployed in real-world such as e-commerce... |
{'timestamp': '2022-03-31T02:17:02', 'yymm': '2203', 'arxiv_id': '2203.15503', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15503'} | arxiv | \section{Introduction}
Triangular clusters form one of the most basic building blocks of frustrated magnets in two dimensions~\cite{Starykh2015}, including the paradigmatic Heisenberg antiferromagnets | on the triangular or kagome lattice. In particular the $S=1/2$ Heisenberg antiferromagnet on the kagome lattice, which can be interpreted as a a lattice of corner-sharing triangles, has attracted considerable interest as a promising system for realizing a quantum spin liquid~\cite{Savary2016,Yan2011,Depenbrock2012,Jia... |
{'timestamp': '2022-04-15T02:24:11', 'yymm': '2203', 'arxiv_id': '2203.15415', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15415'} | arxiv | \section{Neurons and Synapses}
Neuronal representations at various spatiotemporal scales are critical for neural computation within the mammalian nervous system which includes information processing a | t cellular scales such as synaptic transmission between individual synapses or groups of synapses across membranes such as dendrites, axonal transmission between axons terminals and cell bodies called perikarya or soma within a neuron cell body, intraneuronal dendritic compartments, interneuronal compartments. From sub... |
{'timestamp': '2022-07-14T02:09:45', 'yymm': '2203', 'arxiv_id': '2203.15479', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15479'} | arxiv | \section{Introduction}
\label{sec:introduction}
The segmentation of continuous speech is one process required for speech translation (ST).
In text-to-text machine translation (MT), an input text is us | ually segmented into sentences using punctuation marks as boundaries.
However, such explicit boundaries are unavailable in ST.
Pre-segmented speech in a bilingual speech corpus can be used when training an ST model, but not in realistic scenarios.
Since existing ST systems cannot directly translate long continuous spee... |
{'timestamp': '2022-03-30T02:30:35', 'yymm': '2203', 'arxiv_id': '2203.15445', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15445'} | arxiv | \@startsection{section}{1}{\z@}{3.5ex plus 1ex minus .2ex}{2.3ex plus .2ex}{\large\bf}{\@startsection{section}{1}{\z@}{3.5ex plus 1ex minus .2ex}{2.3ex plus .2ex}{\large\bf}}
\defAppendix \Alph{sec | tion}{\arabic{section}}
\def\Alph{section}.\arabic{subsection}{\arabic{section}.\arabic{subsection}}
\def\arabic{subsubsection}{\arabic{subsubsection}}
\def |
{'timestamp': '2022-10-17T02:02:36', 'yymm': '2203', 'arxiv_id': '2203.15367', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15367'} | arxiv | \section{\@startsection {section}{1}{\zeta@}
{-3.5ex \@plus -1ex \@minus -.2ex}
{2.3ex \@plus.2ex}
{\normalfont\Large\bfseries}}
\renewcommand\subsection{\@startsection{subsection}{2}{\zeta@}
{-3.25ex | \@plus -1ex \@minus -.2ex}
{1.5ex \@plus.2ex}
{\normalfont\large\bfseries}}
\makeatother
\newcommand{\arXivlink}[1]{\href{http://arXiv.org/abs/#1}{arXiv:#1}}
\newcommand{\alg}[1]{\mathfrak{#1}}
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\newcommand{\acomm}[2]{\{#1,#2\}}
\newcommand{\gen}[1]{\mathfrak{#1}}
\newcommand{\corr}[1]{{... |
{'timestamp': '2022-04-20T02:24:16', 'yymm': '2203', 'arxiv_id': '2203.15359', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15359'} | arxiv | \section{Introduction}
\label{sec:intro}
\begin{figure}[t]
\centering
{\includegraphics[width=1.0\linewidth]{intro_tight.pdf}}
\caption{
The comparisons of model outputs (logits) and Ku | llback–Leibler (KL) distance between two networks that are trained from scratch. Analysis is conducted on CIFAR100-LT dataset with Imbalanced Factor (IF) of 100.
The logits are visualized on the basis of a random selected example,
and the KL distance is computed based on the whole test set and then
the ave... |
{'timestamp': '2022-07-29T02:23:01', 'yymm': '2203', 'arxiv_id': '2203.15461', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15461'} | arxiv | \section{Introduction}
\label{sec:intro}
A common approach to treating electrodes in atomistic simulations is to assume them to be uniformly charged walls, either structureless or atomically resolved | .
In the case of equilibrium electrolytes near planar electrodes at low charge densities, this approach is known to capture the electrochemical properties well.
Several studies, however, have emphasized the importance of polarization of the electrodes by the ions and molecules in their vicinity \cite{Merlet2013,Breits... |
{'timestamp': '2022-12-20T02:27:15', 'yymm': '2203', 'arxiv_id': '2203.15430', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15430'} | arxiv | \section{Introduction}
Recent years have seen an explosion of interest in so-called moir\'e materials \cite{andrei2021marvels,he2021moire,macdonald2019bilayer,zeller2014possible,kennes2021moire}. Thes | e are materials in which two dimensional crystals are stacked in such a way that their lattices interfere to form moir\'e patterns. In the earliest works related to such a material - twisted bilayer graphene - the moir\'e patterns appear due to a relative twist between two graphene layers and have been found to lead to... |
{'timestamp': '2022-03-30T02:26:49', 'yymm': '2203', 'arxiv_id': '2203.15364', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15364'} | arxiv | \section{Introduction}
Representation learning methods have drastically evolved large scientific volume exploration strategies. The popular applications include summarization, construction of mentor-m | entee network~\citep{ke2021dataset}, recommendation~\citep{ostendorff2020aspect,specter2020cohan,das2020information,hope-etal-2021-extracting}, QA over scientific documents~\citep{DBLP:conf/emnlp/SuXYSBF20}, and verification of scientific claims~\citep{Wadden2020FactOF}. The growing community's interest has led to the ... |
{'timestamp': '2023-01-09T02:08:44', 'yymm': '2203', 'arxiv_id': '2203.15511', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15511'} | arxiv |
\section{Introduction} \label{sec:Intro}
Machine Learning (ML) models are nowadays employed in various domains with excellent performance. When the performance is key to having a competitive advanta | ge, ML models are widespread even when the algorithmic procedure is too complicated to be understood by humans (so called ``black box" algorithms). However, in fields where the stakes for a single decision are high (healthcare, banking, etc.)~\cite{Cutillo2020} there is still scepticism in adopting such models.
Profess... |
{'timestamp': '2022-03-30T02:26:24', 'yymm': '2203', 'arxiv_id': '2203.15354', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15354'} | arxiv | \section{Introduction} \label{sec:intro}
Sign languages are rich visual languages with large lexical vocabularies \cite{stokoe1980sign} and intricate co-articulated movements of both manual (hands an | d body) and non-manual (facial) features. \acf{slp}, the automatic translation from spoken language sentences to sign language sequences, must be able to produce photo-realistic continuous signing for large domains of discourse to be useful to the deaf communities.
Prior deep-learning approaches to \ac{slp} have eithe... |
{'timestamp': '2022-03-30T02:32:50', 'yymm': '2203', 'arxiv_id': '2203.15494', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15494'} | arxiv | \section{Introduction}
Strategy-proofness -- the idea that it is in an agent's interest to reveal their true preferences -- is a fundamental desideratum in mechanism design. All the other properties | a mechanism may have become suspect if we can not assume that an agent will play according to the rules. Unfortunately, in the field of voting, this is a property we have to live without -- per the Gibbard-Satterthwaite theorem (\cite{Gibbard1973}; \cite{Satterthwaite1975}), the only strategy-proof rule with a range co... |
{'timestamp': '2022-03-30T02:31:50', 'yymm': '2203', 'arxiv_id': '2203.15477', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15477'} | arxiv | \section{Introduction}
\label{intro}
The Cassegrain U-Band Efficient Spectrograph (CUBES) instrument is a new spectrograph in development for one of the Cassegrain foci of the Very Large Telescope (VL | T) at the European Southern Observatory (ESO). The goal is to maximise the efficiency at a spectral resolving power ($R$) of greater than 20000, over the bluest part of the spectrum accessible from the ground
(\SIrange{300}{400}{nm}). Given its performance at short wavelengths, CUBES will provide an unprecedented blue ... |
{'timestamp': '2022-03-30T02:30:03', 'yymm': '2203', 'arxiv_id': '2203.15427', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15427'} | arxiv | \section{Introduction}
\vspace{-1mm}
Video frame interpolation (VFI) aims at predicting one or more intermediate frames from a given frame sequence. Given inputs $\langle x_t$, $x_{t+n}\rangle$, where | $n$ is the frame gap between the inputs, existing VFI works generally follow two steps. First, they estimate the motion between $x_t$ and $x_{t+n}$ using off-the-shelf motion estimation modules or by imposing motion constraints. Then, they warp the inputs to the target time and synthesize an intermediate frame.
VFI ... |
{'timestamp': '2022-03-30T02:27:00', 'yymm': '2203', 'arxiv_id': '2203.15369', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15369'} | arxiv | \section{Introduction}
\label{sec:intro}
\emph{Gender diversity}, or more often its lack thereof, among participants to
software development activities has been thoroughly studied in recent years. In |
particular, the presence of, effects of, and countermeasures for \emph{gender
bias} in Free/Open Source Software (FOSS) have received a lot of attention
over the past decade~\cite{david2008fossdevs, qiu2010kdewomen,
nafus2012patches, kuechler2012genderfoss, vasilescu2014gender,
oneil2016debiansurvey, robles2016w... |
{'timestamp': '2022-03-30T02:31:57', 'yymm': '2203', 'arxiv_id': '2203.15480', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15480'} | arxiv | \section{Introduction}
\label{sec:intro}
Synthetic Aperture Radar (SAR) is an active microwave imaging sensor with long-distance observation capability in all-day and all-weather conditions and has go | od adaptability to monitoring the ocean.
In ocean SAR images, ships are the most critical yet small targets to detect when developing a SAR search and tracking system.
SAR-Ship detection aims to find the pre-defined ship objects in a given SAR scene by generating accurate 2D bounding boxes to locate them.
Although man... |
{'timestamp': '2022-03-30T02:32:31', 'yymm': '2203', 'arxiv_id': '2203.15488', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15488'} | arxiv | \section{Introduction}
Artificial intelligence (AI) technologies under rapid development have been widely studied and deployed in various scenarios.
As a data-driven technology, its reliability and a | ccuracy largely depend on the volume and quality of source data.
However, it is recognized as a big challenge for most enterprises to obtain a dataset with sufficient volume and quality for AI model training.
In the meantime, data privacy is another crucial issue that needs to be considered among different involved p... |
{'timestamp': '2022-03-30T02:27:20', 'yymm': '2203', 'arxiv_id': '2203.15385', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15385'} | arxiv | \section*{Introduction}
Let us study the simply connected Lie group $G$. By the \emph{moduli space} we consider the orbit space of the action of $\RR^\times\Aut(\gg)$ on the space $\mathfrak{M}(G)$ | of left invariant metrics on $G$, represented by its inner products on the corresponding Lie algebra $\gg$. Here, $\Aut(\gg)$ denotes the automorphism group of the corresponding Lie algebra and its orbits induce the isometry classes, while $\RR^\times$ is the scalar group giving rise to the scaling.
There are two, ... |
{'timestamp': '2022-08-29T02:10:09', 'yymm': '2203', 'arxiv_id': '2203.15471', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15471'} | arxiv | \section{System Identification}
\label{sec:SysID}
In the following, we assume that the model parameters are unknown and need to be identified.
To this end, we apply some probing input signal $u_{[0,T | -1]}$ over a time period $T\in\mathbb{I}_{\geq 1}$ to the system~\eqref{eq:sys_state} and obtain noisy state measurements $\tilde{x}_k=x_k+\epsilon_k$, $k\in\mathbb{I}_{[0,T]}$ with i.i.d. noise $\epsilon_k\sim\mathcal{N}(0,\Sigma_\epsilon)$.
Generalizations to noisy output measurements are discussed in Section~\ref{s... |
{'timestamp': '2022-03-30T02:32:32', 'yymm': '2203', 'arxiv_id': '2203.15490', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15490'} | arxiv | \section*{Introduction}
\lettrine{D}{eep} neural models for optimal spacecraft guidance and control have been recently proposed \cite{sanchez2018real, dario_ekin_earth_venus, li2019neural, federici202 | 1deep, hovell2020deep, cheng2018real} and studied as a possible alternative to more classical architectures.
Previously, researchers had proposed the use of \lq\lq neurocontrollers\rq\rq\ \cite{mohammadzaheri2012critical} as part of the guidance and control system, but mostly using a neural model to track some precompu... |
{'timestamp': '2022-03-30T02:28:33', 'yymm': '2203', 'arxiv_id': '2203.15404', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15404'} | arxiv |
\section{Introduction}
Neural sequence-to-sequence systems deliver state-of-the-art performance for automatic speech recognition (ASR). When using appropriate modeling units, e.g., byte-pair encoded | characters, these systems are in principle open vocabulary systems. In practice, however, they often fail to recognize words not seen during training, e.g., named entities, numbers or technical terms.
To alleviate this problem, \cite{huber2021instant} proposed to supplement an end-to-end ASR system with a word/phrase... |
{'timestamp': '2022-03-30T02:32:10', 'yymm': '2203', 'arxiv_id': '2203.15485', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15485'} | arxiv | \section{Introduction}\label{sec:introduction}
\begin{figure}[t]
\centering
\includegraphics[width=0.45\textwidth]{figures/teaser.pdf}
\caption{Our method is trained to approximate the ou | tput of an ensemble, by using structured uncertainty prediction networks (SUPN) to predict a mean and covariance for a multivariate Gaussian distribution. This explicit distribution enables a variety of tasks including: sampling, conditioning and model introspection. }
\label{fig:teaser}
\end{figure}
Single predic... |
{'timestamp': '2022-03-31T02:27:05', 'yymm': '2203', 'arxiv_id': '2203.15406', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15406'} | arxiv | \section{Introduction}
Novelty detection has been addressed widely in the machine learning literature, its basic form aims at building a decision rule in order to distinguish a normal set of data poi | nts (or inliers/ negative examples) from novel patterns (or unseen/ positive examples/ novelties). At training time only examples of inliers are available, this type of learning goes by the name of inductive novelty detection. Labeled examples of novelties are unavailable during training in this case. Some notable cont... |
{'timestamp': '2022-03-30T02:33:06', 'yymm': '2203', 'arxiv_id': '2203.15507', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15507'} | arxiv | \section{Introduction}
\label{sec::introduction}
Voronoi diagram is a partition of a set into subsets containing elements that are close to each other according to a certain metric. Even though they | date centuries, Voronoi tessellations have been found immensely helpful in various applications ranging from health to computer graphics to natural sciences. The first documented application of Voronoi tessellations appeared in \cite{JohnSnowCholera} on the 1854 cholera epidemic in London in which it is demonstrated th... |
{'timestamp': '2022-03-30T02:27:05', 'yymm': '2203', 'arxiv_id': '2203.15374', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15374'} | arxiv | \section{Introduction}
There are some properties such as negative permitivity and permeability which are absent in materials which are present in nature. Introducing metamaterials helps us to achieve | all these properties \cite{kshetrimayum2004brief}\cite{capolino2017theory}\cite{walser2000metamaterials}. This unique properties of metamaterials are mainly observed at it's resonant frequencies \cite{bukhari2019metasurfaces}.\\
Metamaterials can be treated as an LC circuit. Both inductance and capacitance depends on... |
{'timestamp': '2022-03-30T02:30:03', 'yymm': '2203', 'arxiv_id': '2203.15426', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15426'} | arxiv |
\subsection{A Core Language with Effects and Handlers}
For the sake of simplicity, we take the core language described in
\cite{Pretnar2015:EFF} with additional base types corresponding to observati | ons
and actions and a simple type system without type effects. We will not talk
about the details of the underlying effect, such as randomness, I/O, or
exceptions. Those effects are obviously needed in practice, but adding them to
the theory would be standard, so for the sake of simplicity we ignore those,
and whe... |
{'timestamp': '2022-03-30T02:30:52', 'yymm': '2203', 'arxiv_id': '2203.15451', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15451'} | arxiv | \section{Introduction}
\label{sec:introduction}
The ray tracing algorithm\cite{Whitted1980, Cook1984, Kajiya1986, haines2019ray} is a general term of rendering algorithms that calculate pixel colors | by simulating the physical interactions of light rays and the scene, such as reflections and refractions.
To render an image with high quality, ray tracing algorithms require simulating an astronomical number of rays.
To be specific, a single ray scatters towards many directions when interacting with an object, and eac... |
{'timestamp': '2022-10-07T02:11:45', 'yymm': '2203', 'arxiv_id': '2203.15447', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15447'} | arxiv | \section{Introduction}
In recent years, text-to-speech~(TTS) models~\cite{shen2018natural,ren2020fastspeech,jeong2021diff,kim2020glow,kim2021conditional} have achieved dramatic improvement in various | perspectives including naturalness, intelligibility, generation speed and controllability. However, one of the unresolved problems of TTS is that training these neural TTS models requires large amounts of text labeled speech corpora for high-quality speech generation. For example, LJSpeech~\cite{ito2017lj}, a public si... |
{'timestamp': '2022-03-30T02:27:18', 'yymm': '2203', 'arxiv_id': '2203.15382', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15382'} | arxiv | \section{Introduction}
Ionic fluids (plasma, electrolyte solutions, molten salts, and room temperature ionic liquids) have recently attracted a lot of researchers' and chemical engineers' attention. T | his was mostly caused by the use of ionic fluids in various applications, including lipid and ion-exchange membranes, biomacromolecules, colloids, batteries, fuel cells, supercapacitors, {\it etc}. In all these examples, ionic fluids, which either interact with the charged surface of the membrane, macromolecule, colloi... |
{'timestamp': '2022-09-22T02:12:12', 'yymm': '2203', 'arxiv_id': '2203.15465', 'language': 'en', 'url': 'https://arxiv.org/abs/2203.15465'} | arxiv | \section*{Introduction}
The explosion of available biological sequence data has led to multiple computational approaches aiming to infer three-dimensional structure, biological function, fitness, and | evolutionary history of proteins from sequence data~\cite{deJuan13,Cocco18}.
Recently, self-supervised deep learning models based on natural language processing methods, especially attention~\cite{Bahdanau14} and transformers~\cite{Vaswani17}, have been trained on large ensembles of protein sequences by means of the m... |
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