A Survey of Methods, Challenges and Perspectives in Causality

A Survey of Methods, Challenges and Perspectives in Causality

1 February 2023

Michael Witbrock

Papers citing "A Survey of Methods, Challenges and Perspectives in Causality"

13 / 13 papers shown

Title
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 31 0 0 08 Oct 2024
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles Ioannis Panagiotopoulos Giorgos Filandrianos Maria Lymperaiou Giorgos Stamou 26 1 0 01 Apr 2024
Can Large Language Models Learn Independent Causal Mechanisms? Gael Gendron Bao Trung Nguyen A. Peng Michael Witbrock Gillian Dobbie LRM 18 3 0 04 Feb 2024
Large Language Models Are Not Strong Abstract Reasoners Gael Gendron Qiming Bao Michael Witbrock Gillian Dobbie ELM LRM 19 29 0 31 May 2023
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 17 19 0 02 Feb 2022
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias R. Y. Rohekar Shami Nisimov Yaniv Gurwicz Gal Novik CML 130 25 0 07 Nov 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 22 3 0 30 Sep 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 55 53 0 09 Sep 2021
Guided Generation of Cause and Effect Zhongyang Li Xiao Ding Ting Liu J. E. Hu Benjamin Van Durme 155 78 0 21 Jul 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 153 192 0 01 Mar 2021
Causal Inference for Time series Analysis: Problems, Methods and Evaluation Raha Moraffah Paras Sheth Mansooreh Karami Anchit Bhattacharya Qianru Wang Anique Tahir A. Raglin Huan Liu CML AI4TS 67 103 0 11 Feb 2021
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 173 313 0 07 Feb 2020
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 216 626 0 20 Feb 2013