Workshop

OPERATOR LEARNING ON FREE-FORM GEOMETRIES
Louis Serrano · Jean-Noël Vittaut · patrick gallinari

Poster

Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
Rui Wang · Yihe Dong · Sercan Arik · Rose Yu

Workshop

Thu 5:30

Workshop

Neural Networks Learn Representation Theory: Reverse Engineering how Networks Perform Group Operations
Bilal Chughtai · Lawrence Chan · Neel Nanda

Workshop

Decision-aware uncertainty-calibrated deep learning for robust energy system operation
Christopher Yeh · Nicolas Christianson · Steven Low · Adam Wierman · Yisong Yue

Poster

Wed 7:30

Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Samuel Lanthaler · Roberto Molinaro · Patrik Hadorn · Siddhartha Mishra

Oral

Wed 7:10

Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Samuel Lanthaler · Roberto Molinaro · Patrik Hadorn · Siddhartha Mishra

Poster

Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad · Gaurav Gupta · Shima Alizadeh · Danielle Maddix

Poster

Transformer Meets Boundary Value Inverse Problems
Ruchi Guo · Shuhao Cao · Long Chen

Poster

Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
Lingshen He · Yuxuan Chen · Zhengyang Shen · Yibo Yang · Zhouchen Lin

Poster

Tue 7:30

HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee · Sung Woong Cho · Hyung Ju Hwang

Poster

Equivariant Hypergraph Diffusion Neural Operators
Peihao Wang · Shenghao Yang · Yunyu Liu · Zhangyang Wang · Pan Li