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Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Paper • 2410.10469 • Published • 1 -
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting
Paper • 2403.11047 • Published • 1 -
Towards Long-Context Time Series Foundation Models
Paper • 2409.13530 • Published • 2
Christophe Amoussouvi
NeuralDev
AI & ML interests
None yet
Recent Activity
updated
a collection
about 2 months ago
Time Series Foundation
updated
a collection
about 2 months ago
Time Series Foundation
updated
a collection
2 months ago
Text to video
Organizations
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EgoX: Egocentric Video Generation from a Single Exocentric Video
Paper • 2512.08269 • Published • 119 -
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Paper • 2512.08765 • Published • 132 -
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
Paper • 2512.09363 • Published • 72 -
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Paper • 2512.08478 • Published • 77
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Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Paper • 2410.10469 • Published • 1 -
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting
Paper • 2403.11047 • Published • 1 -
Towards Long-Context Time Series Foundation Models
Paper • 2409.13530 • Published • 2
-
EgoX: Egocentric Video Generation from a Single Exocentric Video
Paper • 2512.08269 • Published • 119 -
Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance
Paper • 2512.08765 • Published • 132 -
StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
Paper • 2512.09363 • Published • 72 -
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
Paper • 2512.08478 • Published • 77