Poster "operator learning" Papers

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Improve Representation for Imbalanced Regression through Geometric Constraints

Zijian Dong, Yilei Wu, Chongyao Chen et al.

CVPR 2025arXiv:2503.00876

Infinite Neural Operators: Gaussian processes on functions

Daniel Augusto de Souza, Yuchen Zhu, Jake Cunningham et al.

NEURIPS 2025arXiv:2510.16675

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems

Sung Woong Cho, Hwijae Son

ICLR 2025arXiv:2412.03161

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

ICML 2024arXiv:2405.12202

Implicit Representations via Operator Learning

Sourav Pal, Harshavardhan Adepu, Clinton Wang et al.

Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning

Junfeng CHEN, Kailiang Wu

ICML 2024arXiv:2405.09285