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Causal Generative Neural Networks
v1v2 (latest)

Causal Generative Neural Networks

24 November 2017
Olivier Goudet
Diviyan Kalainathan
Philippe Caillou
Isabelle M Guyon
David Lopez-Paz
Michèle Sebag
    BDLCMLDRL
ArXiv (abs)PDFHTML

Papers citing "Causal Generative Neural Networks"

19 / 19 papers shown
Title
Temporal Causal-based Simulation for Realistic Time-series Generation
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
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
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
Learning domain-specific causal discovery from time series
Xinyue Wang
Konrad Paul Kording
BDLCMLAI4TS
52
1
0
12 Sep 2022
Causal Imitation Learning with Unobserved Confounders
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
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
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
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
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
Towards Causal Representation Learning
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
OODCMLAI4CE
155
322
0
22 Feb 2021
Amortized learning of neural causal representations
Amortized learning of neural causal representations
Nan Rosemary Ke
Jane X. Wang
Jovana Mitrović
M. Szummer
Danilo Jimenez Rezende
CMLBDL
88
17
0
21 Aug 2020
Causal Discovery in Physical Systems from Videos
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
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
Causality for Machine Learning
Bernhard Schölkopf
CMLAI4CELRM
109
465
0
24 Nov 2019
Causality-based Feature Selection: Methods and Evaluations
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
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
CMLOOD
117
170
0
02 Oct 2019
FASK with Interventional Knowledge Recovers Edges from the Sachs Model
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
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
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska
V. Chavez-Demoulin
Thibault Vatter
CML
115
10
0
31 Jan 2018
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