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From Deterministic ODEs to Dynamic Structural Causal Models

29 August 2016

Paul Kishan Rubenstein

Stephan Bongers

Bernhard Schölkopf

Joris M. Mooij

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Papers citing "From Deterministic ODEs to Dynamic Structural Causal Models"

34 / 34 papers shown

Title
Identifiability by common backdoor in summary causal graphs of time series Clément Yvernes Charles K. Assaad Emilie Devijver Éric Gaussier CML 34 0 0 17 Jun 2025
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models Benjamin Herdeanu Juan Nathaniel Carla Roesch Jatan Buch Gregor Ramien Johannes Haux Pierre Gentine CML AI4CE 105 0 0 22 May 2025
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems Juan Nathaniel Carla Roesch Jatan Buch Derek DeSantis Adam Rupe Kara Lamb Pierre Gentine CML 62 1 0 20 May 2025
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity Yahya Aalaila Gerrit Großmann Sumantrak Mukherjee Jonas Wahl Sebastian Vollmer CML LRM 144 0 0 31 Mar 2025
Identifiability Analysis of Linear ODE Systems with Hidden Confounders Yuanyuan Wang Zhen Zhang Wei Huang Xi Geng Biwei Huang CML 61 0 0 29 Oct 2024
Dynamic Structural Causal Models Philip A. Boeken Joris M. Mooij 114 4 0 03 Jun 2024
A Dynamical View of the Question of Why Mehdi Fatemi Sindhu Gowda CML 76 1 0 14 Feb 2024
Doubly Robust Structure Identification from Temporal Data Emmanouil Angelis Francesco Quinzan Ashkan Soleymani Patrick Jaillet Stefan Bauer CML OOD 78 2 0 10 Nov 2023
Generator Identification for Linear SDEs with Additive and Multiplicative Noise Yuanyuan Wang Xi Geng Wei Huang Erdun Gao Biwei Huang 106 4 0 30 Oct 2023
Identifiability of total effects from abstractions of time series causal graphs Charles K. Assaad Emilie Devijver Éric Gaussier Gregor Gössler Anouar Meynaoui CML 69 7 0 23 Oct 2023
Identifiability of Direct Effects from Summary Causal Graphs Simon Ferreira Charles K. Assaad CML 69 8 0 29 Jun 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 108 77 0 21 May 2023
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 82 5 0 19 May 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 114 18 0 17 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 60 4 0 06 Mar 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders Defu Cao James Enouen Yujing Wang Xiangchen Song Chuizheng Meng Hao Niu Yan Liu CML 67 23 0 04 Mar 2023
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations Yuanyuan Wang Wei Huang Biwei Huang Xinpeng Geng Tongliang Liu Kun Zhang Dacheng Tao 59 5 0 12 Oct 2022
Towards a Grounded Theory of Causation for Embodied AI Taco S. Cohen CML 77 9 0 28 Jun 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 102 76 0 21 Feb 2022
Dynamic Causal Bayesian Optimization Virginia Aglietti Neil Dhir Javier I. González Theodoros Damoulas 71 22 0 26 Oct 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 118 25 0 23 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 102 47 0 15 Jun 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 93 46 0 06 May 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
Causality and independence in perfectly adapted dynamical systems Tineke Blom Joris M. Mooij CML 102 8 0 28 Jan 2021
Identifying Causal Structure in Dynamical Systems Dominik Baumann Friedrich Solowjow Karl H. Johansson Sebastian Trimpe CML 69 10 0 06 Jun 2020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S. Weichwald M. E. Jakobsen Phillip B. Mogensen Lasse Petersen Nikolaj Thams Gherardo Varando CML AI4TS 101 27 0 21 Feb 2020
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 109 465 0 24 Nov 2019
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach Niklas Pfister Stefan Bauer J. Peters CML 43 41 0 28 Oct 2018
Structural causal models for macro-variables in time-series Dominik Janzing Paul Kishan Rubenstein Bernhard Schölkopf CML 65 6 0 11 Apr 2018
Causal Modeling of Dynamical Systems Stephan Bongers Tineke Blom Joris M. Mooij 73 24 0 23 Mar 2018
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 93 167 0 18 Nov 2016