Causal Discovery with General Non-Linear Relationships Using Non-Linear
ICA

Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA

19 April 2019

Papers citing "Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA"

19 / 19 papers shown

Title
Demystifying amortized causal discovery with transformers Francesco Montagna Max Cairney-Leeming Dhanya Sridhar Francesco Locatello CML 64 1 0 27 May 2024
Sample, estimate, aggregate: A recipe for causal discovery foundation models Menghua Wu Yujia Bao Regina Barzilay Tommi Jaakkola CML 56 7 0 02 Feb 2024
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 38 9 0 24 Oct 2023
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 40 1 0 14 Aug 2023
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets Lazar Atanackovic Alexander Tong Bo Wang Leo J. Lee Yoshua Bengio Jason S. Hartford BDL 34 22 0 08 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 53 41 0 06 Feb 2023
CLEAR: Generative Counterfactual Explanations on Graphs Jing Ma Ruocheng Guo Saumitra Mishra Aidong Zhang Jundong Li CML OOD 40 54 0 16 Oct 2022
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 20 5 0 05 Oct 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 66 78 0 16 Sep 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 34 45 0 01 Apr 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 46 102 0 07 Feb 2022
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Hedvig Kjellström Yingzhen Li Gabriele Schweikert Hedvig Kjellstrom Yingzhen Li BDL CML AI4TS 46 5 0 12 Oct 2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects Yao Zhang Jeroen Berrevoets M. Schaar CML 41 6 0 06 Aug 2021
Learning latent causal graphs via mixture oracles Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam CML 38 47 0 29 Jun 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 23 100 0 09 Jun 2021
Causal Autoregressive Flows Ilyes Khemakhem R. Monti R. Leech Aapo Hyvarinen CML OOD AI4CE 27 108 0 04 Nov 2020
Few-shot Domain Adaptation by Causal Mechanism Transfer Takeshi Teshima Issei Sato Masashi Sugiyama OOD CML TTA 33 86 0 10 Feb 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method Pengzhou (Abel) Wu Kenji Fukumizu CML 32 26 0 07 Jan 2020
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 44 168 0 02 Oct 2019