Oral "partial differential equations" Papers

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Conference

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Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

CViT: Continuous Vision Transformer for Operator Learning

Sifan Wang, Jacob Seidman, Shyam Sankaran et al.

ICLR 2025oralarXiv:2405.13998
31
citations

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Rudy Morel, Jiequn Han, Edouard Oyallon

ICML 2025oralarXiv:2504.19496
8
citations

Neuro-Spectral Architectures for Causal Physics-Informed Networks

Arthur Bizzi, Leonardo Moreira, Márcio Marques et al.

NEURIPS 2025oralarXiv:2509.04966
1
citations

RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains

Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.

NEURIPS 2025oralarXiv:2501.19205
6
citations

Text2PDE: Latent Diffusion Models for Accessible Physics Simulation

Anthony Zhou, Zijie Li, Michael Schneier et al.

ICLR 2025oralarXiv:2410.01153
20
citations

Efficient Error Certification for Physics-Informed Neural Networks

Francisco Eiras, Adel Bibi, Rudy Bunel et al.

ICML 2024oralarXiv:2305.10157
4
citations

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling

Phong Nguyen, Xinlun Cheng, Shahab Azarfar et al.

ICML 2024oralarXiv:2402.12503
10
citations

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations

Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp et al.

ICML 2024oralarXiv:2406.03919
10
citations