Neural Information Squeezer for Causal Emergence

25 January 2022

Papers citing "Neural Information Squeezer for Causal Emergence"

19 / 19 papers shown

Title
Discovering State Variables Hidden in Experimental Data Boyuan Chen Kuang Huang Sunand Raghupathi I. Chandratreya Qi Du Hod Lipson CML 37 16 0 20 Dec 2021
Universal Approximation Property of Neural Ordinary Differential Equations Takeshi Teshima Koichi Tojo Masahiro Ikeda Isao Ishikawa Kenta Oono 54 40 0 04 Dec 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy Alan F. Smeaton SSL AI4TS 309 708 0 10 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior Hong-Ye Hu Dian Wu Yi-Zhuang You Bruno A. Olshausen Yubei Chen BDL DRL 50 15 0 30 Sep 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima Isao Ishikawa Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 51 111 0 20 Jun 2020
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data Sindy Löwe David Madras R. Zemel Max Welling CML BDL AI4TS 97 131 0 18 Jun 2020
Approximate Causal Abstraction Sander Beckers F. Eberhardt Joseph Y. Halpern 56 52 0 27 Jun 2019
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning Zhang Zhang Yi Zhao Jing Liu Shuo Wang Ruyi Tao Ruyue Xin Jiang Zhang AI4CE 47 54 0 30 Dec 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 53 391 0 26 Jul 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 202 600 0 04 Jun 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 59 125 0 08 Feb 2018
Causal Consistency of Structural Equation Models Paul Kishan Rubenstein S. Weichwald Stephan Bongers Joris M. Mooij Dominik Janzing Moritz Grosse-Wentrup Bernhard Schölkopf CML 83 127 0 04 Jul 2017
Mutual Information, Neural Networks and the Renormalization Group M. Koch-Janusz Zohar Ringel DRL AI4CE 76 176 0 20 Apr 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 100 1,409 0 02 Mar 2017
When the map is better than the territory Erik P. Hoel 54 116 0 30 Dec 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 263 3,696 0 26 May 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 394 33,529 0 16 Oct 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012