Machine-learning optimized measurements of chaotic dynamical systems via
the information bottleneck

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Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck

8 November 2023

Kieran A. Murphy

Danielle Bassett

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Papers citing "Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck"

14 / 14 papers shown

Title
Surveying the space of descriptions of a composite system with machine learning Kieran A. Murphy Yujing Zhang D. Bassett 125 0 0 27 Nov 2024
Information decomposition in complex systems via machine learning Kieran A. Murphy Danielle Bassett 71 10 0 10 Jul 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 70 23 0 13 Mar 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 89 5 0 30 Nov 2022
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 530 10,591 0 17 Feb 2020
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 114 814 0 16 May 2019
Distributed Variational Representation Learning Iñaki Estella Aguerri Milad Sefidgaran 70 72 0 11 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 351 10,364 0 10 Jul 2018
Nonlinear Information Bottleneck Artemy Kolchinsky Brendan D. Tracey David Wolpert 68 156 0 06 May 2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations E. Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool MQ 74 482 0 03 Apr 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 130 1,728 0 01 Dec 2016
A note on entropy estimation Thomas Schürmann 21 13 0 19 Mar 2015
Estimating the entropy of binary time series: Methodology, some theory and a simulation study Yun Gao Ioannis Kontoyiannis E. Bienenstock 127 120 0 29 Feb 2008
Optimal Causal Inference: Estimating Stored Information and Approximating Causal Architecture Susanne Still James P. Crutchfield C. J. Ellison CML 118 49 0 11 Aug 2007

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