Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions

9 February 2023

Papers citing "Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions"

5 / 5 papers shown

Title
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Regression Gradients S. J. Wetzel 21 1 0 10 Jan 2024
Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FedML FaML 24 6 0 07 Nov 2023
Defining and Quantifying the Emergence of Sparse Concepts in DNNs J. Ren Mingjie Li Qirui Chen Huiqi Deng Quanshi Zhang 15 31 0 11 Nov 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017