Oral "partial differential equations" Papers
8 papers found
Conference
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