Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients

10 January 2024

Papers citing "Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients"

17 / 17 papers shown

Title
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 102 2 0 09 Sep 2024
Interpretable Scientific Discovery with Symbolic Regression: A Review N. Makke Sanjay Chawla 89 109 0 20 Nov 2022
End-to-end symbolic regression with transformers Pierre-Alexandre Kamienny Stéphane dÁscoli Guillaume Lample Franccois Charton 94 176 0 22 Apr 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 102 58 0 05 Dec 2021
PySINDy: A comprehensive Python package for robust sparse system identification A. Kaptanoglu Brian M. de Silva Urban Fasel Kadierdan Kaheman Andy J. Goldschmidt ... Zachary G. Nicolaou Kathleen P. Champion Jean-Christophe Loiseau J. Nathan Kutz Steven L. Brunton AI4CE 84 150 0 12 Nov 2021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry Felipe Oviedo J. L. Ferres Tonio Buonassisi K. Butler AI4CE 49 152 0 01 Nov 2021
An Approach to Symbolic Regression Using Feyn Kevin René Brolos Meera Machado C. Cave Jaan Kasak Valdemar Stentoft-Hansen Victor Galindo Batanero T. Jelen Casper Wilstrup 28 45 0 12 Apr 2021
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data Cole Miles A. Bohrdt Ruihan Wu C. Chiu Muqing Xu G. Ji M. Greiner Kilian Q. Weinberger E. Demler Eun-Ah Kim 66 44 0 06 Nov 2020
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks S. J. Wetzel R. Melko Joseph Scott Maysum Panju Vijay Ganesh 61 70 0 09 Mar 2020
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 163 881 0 27 May 2019
Learning Equations for Extrapolation and Control Subham S. Sahoo Christoph H. Lampert Georg Martius 51 234 0 19 Jun 2018
Probing hidden spin order with interpretable machine learning J. Greitemann Ke Liu L. Pollet 51 49 0 23 Apr 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 81 1,259 0 27 Dec 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 293 2,267 0 24 Jun 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,881 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,018 0 04 Mar 2017
Extrapolation and learning equations Georg Martius Christoph H. Lampert 43 159 0 10 Oct 2016