Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics
Model Reduction and Neural Networks
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- Stabilizing PDE--ML coupled systems
Saad Qadeer, Panos Stinis, Hui. Wan · 27 October 2025
- Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park, Seonghyun Jeong · 27 October 2025
- Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks
Julia Nakhleh, Robert D. Nowak · 27 October 2025
- Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
Minchan Jeong, J. Jon Ryu, Se-Young Yun, Gregory W. Wornell · 27 October 2025
- A discrete physics-informed training for projection-based reduced order models with neural networks
N. Sibuet, S. Ares de Parga, J. R. Bravo, R. Rossi · 27 October 2025
- VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
Paolo Conti, Jonas Kneifl, Andrea Manzoni, Attilio Frangi, J\"org Fehr, Steven L. Brunton, J. Nathan Kutz · 27 October 2025
- Accelerating Data Generation for Nonlinear temporal PDEs via homologous perturbation in solution space
Lei Liu, Zhenxin Huang, Hong Wang, huanshuo dong, Haiyang Xin, Hongwei Zhao, Bin Li · 27 October 2025
- A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems
Pei-Zhi Zhuang, Ming-Yue Yang, Fei Ren, Hong-Ya Yue, He Yang · 27 October 2025
- PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
Andrea Bonfanti, Ismael Medina, Roman List, Bj\"orn Staeves, Roberto Santana, Marco Ellero · 27 October 2025
- On the accuracy of implicit neural representations for cardiovascular anatomies and hemodynamic fields
Jubilee Lee, Daniele E. Schiavazzi · 27 October 2025
- Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Alejandro Garc\'ia-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Dani\"el M. Pelt, Erik J. Bekkers · 27 October 2025
- Physically consistent and uncertainty-aware learning of spatiotemporal dynamics
Qingsong Xu, Jonathan L Bamber, Nils Thuerey, Niklas Boers, Paul Bates, Gustau Camps-Valls, Yilei Shi, Xiao Xiang Zhu · 27 October 2025