The Causal-Neural Connection: Expressiveness, Learnability, and Inference

2 July 2021

Papers citing "The Causal-Neural Connection: Expressiveness, Learnability, and Inference"

21 / 21 papers shown

Title
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 77 5 0 30 Mar 2025
Causal Mean Field Multi-Agent Reinforcement Learning Hao Ma Zhiqiang Pu Yi Pan Boyin Liu Junlong Gao Zhenyu Guo 83 0 0 20 Feb 2025
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 36 1 0 29 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 21 6 0 04 Aug 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models R. Maier A. Schlattl Thomas Guess J. Mottok AI4CE 29 1 0 02 Aug 2023
Passive learning of active causal strategies in agents and language models Andrew Kyle Lampinen Stephanie C. Y. Chan Ishita Dasgupta A. Nam Jane X. Wang 29 15 0 25 May 2023
Mathematical Challenges in Deep Learning V. Nia Guojun Zhang I. Kobyzev Michael R. Metel Xinlin Li ... S. Hemati M. Asgharian Linglong Kong Wulong Liu Boxing Chen AI4CE VLM 37 1 0 24 Mar 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 31 0 0 24 Mar 2023
A Survey of Methods, Challenges and Perspectives in Causality Gael Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 29 12 0 01 Feb 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 36 11 0 07 Nov 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 43 32 0 30 Sep 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 16 11 0 18 Mar 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 35 69 0 21 Feb 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 26 28 0 20 Jan 2022
The Causal Loss: Driving Correlation to Imply Causation Moritz Willig Matej Zečević Devendra Singh Dhami Kristian Kersting CML OOD 27 2 0 22 Oct 2021
A Taxonomy for Inference in Causal Model Families Matej Zevcević Devendra Singh Dhami Kristian Kersting 19 1 0 22 Oct 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević Devendra Singh Dhami Petar Velickovic Kristian Kersting AI4CE CML 63 53 0 09 Sep 2021
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 46 42 0 06 Sep 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016