A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalizationby Hai V.…
A Survey on Neural Architecture Search Based on Reinforcement Learningby Wenzhu ShaoFirst submitted to arxiv…
Jump Diffusion-Informed Neural Networks with Transfer Learning for Accurate American Option Pricing under Data Scarcityby…
Using dynamic loss weighting to boost improvements in forecast stabilityby Daan Caljon, Jeff Vercauteren, Simon…
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernelby Jialin Li, Marta Zagorowska, Giulia…
Ordinary Differential Equations for Enhanced 12-Lead ECG Generationby Yakir Yehuda, Kira RadinskyFirst submitted to arxiv…
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoEby Xun Zhu, Ying…
Modulated Intervention Preference Optimization (MIPO): Keep the Easy, Refine the Difficultby Cheolhun JangFirst submitted to…
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inferenceby Qining Zhang, Lei…
DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusionby Yukun Huang, Jianan Wang, Ailing Zeng,…