An Approach to Symbolic Regression Using Feyn

12 April 2021

Papers citing "An Approach to Symbolic Regression Using Feyn"

6 / 6 papers shown

Title
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses Ramtin Zargari Marandi Anne Svane Frahm Jens Lundgren Daniel Dawson Murray Maja Milojevic 51 0 0 08 Jan 2025
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 102 2 0 09 Sep 2024
Discovering Symbolic Models from Deep Learning with Inductive Biases M. Cranmer Alvaro Sanchez-Gonzalez Peter W. Battaglia Rui Xu Kyle Cranmer D. Spergel S. Ho AI4CE 72 481 0 19 Jun 2020
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery Samuel Kim Peter Y. Lu Srijon Mukherjee M. Gilbert Li Jing V. Ceperic Marin Soljacic 63 166 0 10 Dec 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 259 86 0 12 Sep 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 163 881 0 27 May 2019