Machine learning of Kondo physics using variational autoencoders and symbolic regression

16 July 2021

Papers citing "Machine learning of Kondo physics using variational autoencoders and symbolic regression"

6 / 6 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors Sikai Huang Yixin Berry Wen Tara Adusumilli Kusum Choudhary Haizhao Yang 57 0 0 13 Mar 2025
Drivetrain simulation using variational autoencoders Pallavi Sharma Jorge-Humberto Urrea-Quintero Bogdan Bogdan Adrian-Dumitru Ciotec Laura Vasilie Henning Wessels Matteo Skull 226 0 0 29 Jan 2025
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 25 2 0 09 Sep 2024
Explainable Representation Learning of Small Quantum States Felix Frohnert Evert P L van Nieuwenburg SSL 20 10 0 09 Jun 2023
AI Explainability and Governance in Smart Energy Systems: A Review Roba Alsaigh Rashid Mehmood Iyad A. Katib 43 23 0 24 Oct 2022