EquiFlow: Equivariant Conditional Flow Matching with Optimal Transport for 3D Molecular Conformation Predictionby Qingwen Tian,…
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experimentsby Taehun Cha, Donghun LeeFirst…
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learningby Yun Qu, Yuhang Jiang, Boyuan Wang,…
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizerby Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen,…
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learningby Pengfei Fang, Yongchun Qin, Hui XueFirst…
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regressionby Junliang Lyu, Yixuan…
Do Large Language Models Show Biases in Causal Learning?by Maria Victoria Carro, Francisca Gauna Selasco,…
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inferenceby Jinglong…
OP-LoRA: The Blessing of Dimensionalityby Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam LimFirst submitted…
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimationby Hamed Fayyaz, Mehak Gupta, Alejandra…