COMFORT: A Continual Fine-Tuning Framework for Foundation Models Targeted at Consumer Healthcareby Chia-Hao Li, Niraj…
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamicsby Yi Ren, Danica J. SutherlandFirst submitted…
KAN v.s. MLP for Offline Reinforcement Learningby Haihong Guo, Fengxin Li, Jiao Li, Hongyan LiuFirst…
Operational Wind Speed Forecasts for Chile’s Electric Power Sector Using a Hybrid ML Modelby Dhruv…
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphsby Pengfe Jiao, Xinxun Zhang, Mengzhou Gao, Tianpeng…
Symbolic Regression with a Learned Concept Libraryby Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer,…
Topological Eigenvalue Theorems for Tensor Analysis in Multi-Modal Data Fusionby Ronald KatendeFirst submitted to arxiv…
Curricula for Learning Robust Policies with Factored State Representations in Changing Environmentsby Panayiotis Panayiotou, Özgür…
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networksby Kevin…
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?by Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti,…