Causal Generative Neural Networks

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Causal Generative Neural Networks

24 November 2017

Diviyan Kalainathan

Philippe Caillou

Isabelle M Guyon

David Lopez-Paz

Michèle Sebag

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Papers citing "Causal Generative Neural Networks"

19 / 19 papers shown

Title
Temporal Causal-based Simulation for Realistic Time-series Generation Nikolaos Gkorgkolis Nikolaos Kougioulis Mingxue Wang Bora Caglayan Andrea Tonon Dario Simionato Ioannis Tsamardinos CML 24 0 0 02 Jun 2025
Causal Structural Hypothesis Testing and Data Generation Models Jeffrey Q. Jiang Omead Brandon Pooladzandi Sunay Bhat Gregory Pottie CML 75 1 0 20 Oct 2022
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 74 19 0 14 Oct 2022
Learning domain-specific causal discovery from time series Xinyue Wang Konrad Paul Kording BDL CML AI4TS 52 1 0 12 Sep 2022
Causal Imitation Learning with Unobserved Confounders Junzhe Zhang D. Kumor Elias Bareinboim CML 86 76 0 12 Aug 2022
Amortized Inference for Causal Structure Learning Lars Lorch Scott Sussex Jonas Rothfuss Andreas Krause Bernhard Schölkopf CML 116 65 0 25 May 2022
Efficient Neural Causal Discovery without Acyclicity Constraints Phillip Lippe Taco S. Cohen E. Gavves CML 102 72 0 22 Jul 2021
Neural Networks for Learning Counterfactual G-Invariances from Single Environments S Chandra Mouli Bruno Ribeiro OOD 77 12 0 20 Apr 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 138 110 0 08 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 155 322 0 22 Feb 2021
Amortized learning of neural causal representations Nan Rosemary Ke Jane X. Wang Jovana Mitrović M. Szummer Danilo Jimenez Rezende CML BDL 88 17 0 21 Aug 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 124 104 0 01 Jul 2020
Domain Adaptation as a Problem of Inference on Graphical Models Kun Zhang Biwei Huang P. Stojanov Erdun Gao Qingsong Liu Clark Glymour OOD 104 66 0 09 Feb 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 109 465 0 24 Nov 2019
Causality-based Feature Selection: Methods and Evaluations Kui Yu Xianjie Guo Lin Liu Jiuyong Li Hao Wang Zhaolong Ling Xindong Wu CML 90 97 0 17 Nov 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 117 170 0 02 Oct 2019
FASK with Interventional Knowledge Recovers Edges from the Sachs Model Joseph Ramsey Bryan Andrews 70 22 0 06 May 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 82 96 0 13 Mar 2018
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery Natasa Tagasovska V. Chavez-Demoulin Thibault Vatter CML 119 10 0 31 Jan 2018