Summary of Grin: Gradient-informed Moe, by Liyuan Liu et al.
GRIN: GRadient-INformed MoEby Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao…
GRIN: GRadient-INformed MoEby Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao…
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generationby S. Rohollah Hosseyni, Ali Ahmad Rahmani, S. Jamal…
PROSE-FD: A Multimodal PDE Foundation Model for Learning Multiple Operators for Forecasting Fluid Dynamicsby Yuxuan…
Latent Diffusion Models for Controllable RNA Sequence Generationby Kaixuan Huang, Yukang Yang, Kaidi Fu, Yanyi…
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modelingby Vivek Oommen, Aniruddha…
Q-value Regularized Decision ConvFormer for Offline Reinforcement Learningby Teng Yan, Zhendong Ruan, Yaobang Cai, Yu…
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generationby Yecheng Wu, Zhuoyang Zhang, Junyu…
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networksby Runzhong Wang,…
PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networksby Shengchen Zhu, Yiming Chen,…
From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoningby Siling…