Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorizationby Chenbei Lu, Laixi Shi,…
Circuit Complexity Bounds for RoPE-based Transformer Architectureby Bo Chen, Xiaoyu Li, Yingyu Liang, Jiangxuan Long,…
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Schedulingby Maria Zampella, Urtzi Otamendi, Xabier Belaunzaran,…
Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Tasksby Madeline Brumley, Joe Kwon, David…
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Modelsby Yoad Tewel, Rinon Gal, Dvir…
Score-based generative diffusion with “active” correlated noise sourcesby Alexandra Lamtyugina, Agnish Kumar Behera, Aditya Nandy,…
Analysis, forecasting and system identification of a floating offshore wind turbine using dynamic mode decompositionby…
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuningby Zecheng Zhang, Christian Moya,…
Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learningby…
Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learningby Xiaocan Li, Xiaoyu Wang, Ilia…