Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

9 July 2024

Papers citing "Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations"

19 / 19 papers shown

Title
Enhancing Fourier Neural Operators with Local Spatial Features Chaoyu Liu Davide Murari Chris Budd Lihao Liu Carola-Bibiane Schönlieb AI4CE 36 0 0 22 Mar 2025
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields Tim Weiland Marvin Pfortner Philipp Hennig AI4CE 30 0 0 11 Mar 2025
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 56 0 0 21 Feb 2025
Neural equilibria for long-term prediction of nonlinear conservation laws Jose Antonio Lara Benitez Junyi Guo Kareem Hegazy Ivan Dokmanić Michael W. Mahoney Maarten V. de Hoop 31 0 0 12 Jan 2025
Symplectic Neural Flows for Modeling and Discovery Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov 78 1 0 21 Dec 2024
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Arvind Mohan Ashesh Chattopadhyay Jonah Miller 81 0 0 22 Nov 2024
Neural Quantum Propagators for Driven-Dissipative Quantum Dynamics Jiaji Zhang Carlos L. Benavides-Riveros Lipeng Chen 16 2 0 21 Oct 2024
Can AI weather models predict out-of-distribution gray swan tropical cyclones? Y. Qiang Sun P. Hassanzadeh Mohsen Zand A. Chattopadhyay J. Weare D. Abbot 19 6 0 19 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Anthony Y. Zhou Zijie Li Michael Schneier John R Buchanan Jr Amir Barati Farimani AI4CE DiffM 52 5 0 02 Oct 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media Su Chen Yi Ding Hiroe Miyake Xiaojun Li 34 0 0 27 Sep 2024
Physics-informed kernel learning Nathan Doumèche Francis Bach Gérard Biau Claire Boyer PINN 16 2 0 20 Sep 2024
Towards Multi-spatiotemporal-scale Generalized PDE Modeling Jayesh K. Gupta Johannes Brandstetter AI4CE 53 117 0 30 Sep 2022
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 108 243 0 11 Jul 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 26 87 0 07 Dec 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 38 5 0 07 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 98 351 0 05 Oct 2021
Improved architectures and training algorithms for deep operator networks Sifan Wang Hanwen Wang P. Perdikaris AI4CE 37 102 0 04 Oct 2021
Physics-based Deep Learning Nils Thuerey Philipp Holl P. Holl Patrick Schnell Felix Trost Kiwon Um P. Schnell F. Trost PINN AI4CE 48 89 0 11 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020