ICLR 2025 "partial differential equations" Papers

13 papers found

ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning

Nilo Schwencke, Cyril Furtlehner

ICLR 2025posterarXiv:2412.10782
4
citations

Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations

David Dalton, Alan Lazarus, Hao Gao et al.

ICLR 2025poster

CViT: Continuous Vision Transformer for Operator Learning

Sifan Wang, Jacob Seidman, Shyam Sankaran et al.

ICLR 2025oralarXiv:2405.13998
26
citations

Gradient-Free Generation for Hard-Constrained Systems

Chaoran Cheng, Boran Han, Danielle Maddix et al.

ICLR 2025posterarXiv:2412.01786
17
citations

Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations

Nils Wandel, Stefan Schulz, Reinhard Klein

ICLR 2025posterarXiv:2410.19746
4
citations

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models

Theo Bourdais, Houman Owhadi

ICLR 2025posterarXiv:2409.17267
2
citations

Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout

Bharat Srikishan, Daniel O'Malley, Mohamed Mehana et al.

ICLR 2025posterarXiv:2503.10048

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann

ICLR 2025posterarXiv:2403.14404
52
citations

PIED: Physics-Informed Experimental Design for Inverse Problems

Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.

ICLR 2025posterarXiv:2503.07070
1
citations

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

Namgyu Kang, Jaemin Oh, Youngjoon Hong et al.

ICLR 2025posterarXiv:2412.05994
7
citations

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations

Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

ICLR 2025posterarXiv:2410.02151
4
citations

Solving Differential Equations with Constrained Learning

Viggo Moro, Luiz Chamon

ICLR 2025posterarXiv:2410.22796
1
citations

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation

Anthony Zhou, Zijie Li, Michael Schneier et al.

ICLR 2025oralarXiv:2410.01153
18
citations