KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which gen...
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Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which gen...
Relations compose through the entity they share - Alice is Bob's mother and Bob is Carol's father, so Alice is Carol'...
Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization ...
Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory...
Video captioning aims to preserve visual information through compact descriptions, predominantly using natural langua...
We introduce OvisOCR3, a 0.8B model for a broad range of OCR-related tasks. OvisOCR3 unifies document parsing, genera...
Mixture-of-Experts (MoE) models are bottlenecked by loading routed-expert weights from memory during interactive deco...
Image and video generators can produce spatially consistent visual content, but how to use this capability to improve...
We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 1...
The vision-language-action (VLA) and world-action model (WAM) communities debate whether control policies should inhe...
AI research agents can propose, execute, and improve programs that solve machine learning tasks. However, executing e...
Despite rapid advances in large language models (LLMs), their deployment in the sports and health domain remains high...