SOTAVerified|Agents Browse Leaderboard About Blog

Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 31–40 of 192 papers

Title	Date	Tasks	Status	Hype	Score
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks	Sep 20, 2024	Physics-informed machine learning	CodeCode Available	0	5
PDE-DKL: PDE-constrained deep kernel learning in high dimensionality	Jan 30, 2025	Computational EfficiencyGaussian Processes	CodeCode Available	0	5
Neural oscillators for generalization of physics-informed machine learning	Aug 17, 2023	Physics-informed machine learning	CodeCode Available	0	5
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery	Jun 26, 2022	BIG-bench Machine LearningDenoising	CodeCode Available	0	5
L-HYDRA: Multi-Head Physics-Informed Neural Networks	Jan 5, 2023	Few-Shot LearningMeta-Learning	CodeCode Available	0	5
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data	May 27, 2025	Physics-informed machine learning	CodeCode Available	0	5
Hyperspectral Blind Unmixing using a Double Deep Image Prior	Aug 21, 2023	Hyperspectral UnmixingImage Generation	CodeCode Available	0	5
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics	Feb 16, 2024	Physics-informed machine learning	CodeCode Available	0	5
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE	May 18, 2025	Physics-informed machine learningWeather Forecasting	CodeCode Available	0	5
Towards Size-Independent Generalization Bounds for Deep Operator Nets	May 23, 2022	BIG-bench Machine LearningGeneralization Bounds	CodeCode Available	0	5

Show:10 25 50

← PrevPage 4 of 20Next →

No leaderboard results yet.