DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Networkby Meng Shang, Lenore Dedeyne,…
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesisby Bernard Spiegl, Andrea Perin, Stéphane Deny,…
Instance Segmentation XXL-CT Challenge of a Historic Airplaneby Roland Gruber, Johann Christopher Engster, Markus Michen,…
Beyond Expectations: Learning with Stochastic Dominance Made Practicalby Shicong Cen, Jincheng Mei, Hanjun Dai, Dale…
Sample Complexity Characterization for Linear Contextual MDPsby Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin LiangFirst…
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidenceby Jiafei…
Representation Surgery for Multi-Task Model Mergingby Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun…
Position: What Can Large Language Models Tell Us about Time Series Analysisby Ming Jin, Yifan…
Architectural Strategies for the optimization of Physics-Informed Neural Networksby Hemanth Saratchandran, Shin-Fang Chng, Simon LuceyFirst…
Discounted Adaptive Online Learning: Towards Better Regularizationby Zhiyu Zhang, David Bombara, Heng YangFirst submitted to…