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Workshop
Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength
Jiageng Zhu · Hanchen Xie · Wael Abd-Almageed
Workshop
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal · Marek Teichmann · Sheldon Andrews · Samira Ebrahimi Kahou
Workshop
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal · Marek Teichmann · Sheldon Andrews · Samira Ebrahimi Kahou
Poster
Thu 9:00 Hierarchical classification at multiple operating points
Jack Valmadre
Workshop
Robustifying machine-learned algorithms for efficient grid operation
Nicolas Christianson · Christopher Yeh · Tongxin Li · Mahdi Torabi Rad · Azarang Golmohammadi · Adam Wierman
Poster
Thu 9:00 Learning Operators with Coupled Attention
Georgios Kissas · Jacob Seidman · Leonardo Ferreira Guilhoto · Victor M. Preciado · George J. Pappas · Paris Perdikaris
Workshop
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
Jiachen Li · Edwin Zhang · Ming Yin · Qinxun Bai · Yu-Xiang Wang · William Yang Wang
Poster
Thu 14:00 Generic bounds on the approximation error for physics-informed (and) operator learning
Tim De Ryck · Siddhartha Mishra
Poster
Tue 14:00 Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz · Song Mei
Workshop
Minimax Optimal Kernel Operator Learning via Multilevel Training
Jikai Jin · Yiping Lu · Jose Blanchet · Lexing Ying
Workshop
One-shot learning for solution operators of partial differential equations
Lu Lu · Anran Jiao · Jay Pathak · Rishikesh Ranade · Haiyang He
Workshop
Fast Sampling of Diffusion Models via Operator Learning
Hongkai Zheng · Weili Nie · Arash Vahdat · Kamyar Azizzadenesheli · Anima Anandkumar