Neural FIM for learning Fisher Information Metrics from point cloud data
Paper • 2306.06062 • Published
Tong Lab
university
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atong01
authored 16
papers 4 days ago
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Paper • 2408.14608 • Published • 8
Generating Multi-Modal and Multi-Attribute Single-Cell Counts with CFGen
Paper • 2407.11734 • Published
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
Paper • 2305.19043 • Published • 1
The Superposition of Diffusion Models Using the Itô Density Estimator
Paper • 2412.17762 • Published • 13
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Paper • 2503.02819 • Published • 2
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Paper • 2503.17361 • Published • 5
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Paper • 2406.14794 • Published
Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
Paper • 2312.04823 • Published
Branched Schrödinger Bridge Matching
Paper • 2506.09007 • Published • 1
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
Paper • 2502.18462 • Published
Improving and generalizing flow-based generative models with minibatch optimal transport
Paper • 2302.00482 • Published
Amortized Sampling with Transferable Normalizing Flows
Paper • 2508.18175 • Published
Metric Flow Matching for Smooth Interpolations on the Data Manifold
Paper • 2405.14780 • Published
Learnable Filters for Geometric Scattering Modules
Paper • 2208.07458 • Published
General Multimodal Protein Design Enables DNA-Encoding of Chemistry
Paper • 2604.05181 • Published • 25