Significance Tests for Neural Networks

16 February 2019

Papers citing "Significance Tests for Neural Networks"

8 / 8 papers shown

Title
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 160 0 0 17 Feb 2025
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 32 12 0 27 Jan 2023
Interpretable Selective Learning in Credit Risk Dangxing Chen Weicheng Ye Jiahui Ye FaML 35 15 0 21 Sep 2022
Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring Dangxing Chen Weicheng Ye FaML 42 13 0 21 Sep 2022
On the Computational Intelligibility of Boolean Classifiers Gilles Audemard S. Bellart Louenas Bounia F. Koriche Jean-Marie Lagniez Pierre Marquis 24 56 0 13 Apr 2021
Neural Networks and Value at Risk Alexander Arimond Damian Borth Andreas G. F. Hoepner M. Klawunn S. Weisheit 16 8 0 04 May 2020
Asymptotic Properties of Neural Network Sieve Estimators Xiaoxi Shen Chang Jiang Lyudamila Sakhanenko Qing Lu 29 17 0 03 Jun 2019
Deep Fundamental Factor Models M. Dixon Nicholas G. Polson 31 9 0 18 Mar 2019