Interpretability with full complexity by constraining feature information

30 November 2022

Papers citing "Interpretability with full complexity by constraining feature information"

7 / 7 papers shown

Title
Surveying the space of descriptions of a composite system with machine learning Kieran A. Murphy Yujing Zhang D. Bassett 61 0 0 27 Nov 2024
Which bits went where? Past and future transfer entropy decomposition with the information bottleneck Kieran A. Murphy Zhuowen Yin D. Bassett 24 0 0 07 Nov 2024
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck Kieran A. Murphy Danielle Bassett 28 5 0 08 Nov 2023
Information decomposition in complex systems via machine learning Kieran A. Murphy Danielle Bassett 20 8 0 10 Jul 2023
A Rate-Distortion Framework for Explaining Black-box Model Decisions Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok 27 14 0 12 Oct 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 83 292 0 13 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017