Abstracting Causal Models

10 December 2018

Papers citing "Abstracting Causal Models"

26 / 26 papers shown

Title
Evaluating Explanations: An Explanatory Virtues Framework for Mechanistic Interpretability -- The Strange Science Part I.ii Kola Ayonrinde Louis Jaburi XAI 80 1 0 02 May 2025
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i Kola Ayonrinde Louis Jaburi MILM 86 1 0 01 May 2025
What is causal about causal models and representations? Frederik Hytting Jørgensen Luigi Gresele S. Weichwald CML 105 0 0 31 Jan 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 52 2 0 03 Jan 2025
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng D. Dhami Kristian Kersting CML 43 0 0 16 Oct 2024
Causally Abstracted Multi-armed Bandits Fabio Massimo Zennaro Nicholas Bishop Joel Dyer Yorgos Felekis Anisoara Calinescu Michael Wooldridge Theodoros Damoulas 33 2 0 26 Apr 2024
Interventionally Consistent Surrogates for Agent-based Simulators Joel Dyer Nicholas Bishop Yorgos Felekis Fabio Massimo Zennaro Anisoara Calinescu Theodoros Damoulas Michael Wooldridge 19 6 0 18 Dec 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 18 56 0 01 Jun 2023
A Measure-Theoretic Axiomatisation of Causality Junhyung Park Simon Buchholz Bernhard Schölkopf Krikamol Muandet 38 5 0 19 May 2023
Causal Models with Constraints Sander Beckers J. Halpern Christopher R. Hitchcock CML 17 4 0 17 Jan 2023
Jointly Learning Consistent Causal Abstractions Over Multiple Interventional Distributions Fabio Massimo Zennaro Máté Drávucz G. Apachitei W. D. Widanage Theodoros Damoulas 31 12 0 14 Jan 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training Jing-ling Huang Zhengxuan Wu Kyle Mahowald Christopher Potts 24 13 0 19 Dec 2022
Causal Abstraction with Soft Interventions Riccardo Massidda Atticus Geiger Thomas F. Icard D. Bacciu 23 13 0 22 Nov 2022
FACT: Learning Governing Abstractions Behind Integer Sequences Peter Belcak Ard Kastrati Flavio Schenker Roger Wattenhofer 33 5 0 20 Sep 2022
Towards Computing an Optimal Abstraction for Structural Causal Models Fabio Massimo Zennaro P. Turrini Theodoros Damoulas 19 1 0 01 Aug 2022
Abstracting Noisy Robot Programs Till Hofmann Vaishak Belle 11 2 0 07 Apr 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 30 120 0 30 Mar 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 25 19 0 02 Feb 2022
On the Equivalence of Causal Models: A Category-Theoretic Approach J. Otsuka H. Saigo 31 12 0 18 Jan 2022
Causal Modeling With Infinitely Many Variables Spencer James Peters Joseph Y. Halpern CML 19 10 0 16 Dec 2021
Inducing Causal Structure for Interpretable Neural Networks Atticus Geiger Zhengxuan Wu Hanson Lu J. Rozner Elisa Kreiss Thomas F. Icard Noah D. Goodman Christopher Potts CML OOD 18 70 0 01 Dec 2021
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 27 62 0 11 Sep 2020
Causal Feature Learning for Utility-Maximizing Agents David Kinney David S. Watson 19 9 0 18 May 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 19 337 0 14 Feb 2020
Measurement Dependence Inducing Latent Causal Models Alex Markham Moritz Grosse-Wentrup CML 16 15 0 19 Oct 2019
Approximate Causal Abstraction Sander Beckers F. Eberhardt Joseph Y. Halpern 31 50 0 27 Jun 2019