Papers citing 'Counterfactual Identifiability of Bijective Causal Models'

Title
DoFlow: Causal Generative Flows for Interventional and Counterfactual Time-Series Prediction Dongze Wu Feng Qiu Yao Xie AI4TS OOD BDL AI4CE 330 0 0 04 Nov 2025
Counterfactually Fair Conformal Prediction Ozgur Guldogan Neeraj Sarna Yuanyuan Li Michael Berger 92 0 0 09 Oct 2025
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries Marius Dragoi Ioana Pintilie Florin Gogianu Florin Brad OffRL LRM 219 0 0 09 Oct 2025
Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual FairnessNeural Information Processing Systems (NeurIPS), 2025 A. Ehyaei G. Farnadi Samira Samadi 115 3 0 30 Sep 2025
What is a good matching of probability measures? A counterfactual lens on transport maps Lucas De Lara Luca Ganassali 120 0 0 19 Sep 2025
Partially Functional Dynamic Backdoor Diffusion-based Causal Model Xinwen Liu Lei Qian Song Xi Chen Niansheng Tang 161 0 0 30 Aug 2025
Counterfactual reasoning: an analysis of in-context emergence Moritz Miller Bernhard Schölkopf Siyuan Guo ReLM LRM 315 0 0 05 Jun 2025
PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals Dongze Wu David I. Inouye Yao Xie 201 1 0 21 May 2025
A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Pouria Fatemi Ehsan Sharifian Mohammad Hossein Yassaee 318 0 0 05 May 2025
Multi-Domain Causal Discovery in Bijective Causal ModelsCLEaR (CLEaR), 2025 Kasra Jalaldoust Saber Salehkaleybar Negar Kiyavash CML 240 2 0 30 Apr 2025
Interpretable Neural Causal Models with TRAM-DAGsCLEaR (CLEaR), 2025 Beate Sick Oliver Durr CML 196 2 0 20 Mar 2025
DeCaFlow: A deconfounding causal generative model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 317 0 0 19 Mar 2025
Unsupervised Structural-Counterfactual Generation under Domain Shift Krishn Vishwas Kher Lokesh Venkata Siva Maruthi Badisa Saksham Mittal Kusampudi Venkata Datta Sri Harsha Chitneedi Geetha Sowmya SakethaNath Jagarlapudi OOD CML 207 0 0 17 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo Jianchao Tan 257 1 0 10 Feb 2025
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 377 0 0 02 Dec 2024
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsNeural Information Processing Systems (NeurIPS), 2024 Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 277 7 0 03 Sep 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and ChallengesInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 250 9 0 08 May 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 228 16 0 07 Feb 2024
Causal Bayesian Optimization via Exogenous Distribution Learning Shaogang Ren Xiaoning Qian 422 2 0 03 Feb 2024
Deep Learning With DAGsSocial Science Research Network (SSRN), 2024 Sourabh Vivek Balgi Adel Daoud Jose M. Pena G. Wodtke Jesse Zhou AI4CE CML 222 3 0 12 Jan 2024
Consistent End-to-End Estimation for Counterfactual Fairness Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 210 3 0 26 Oct 2023
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPsInternational Conference on Machine Learning (ICML), 2023 Stelios Triantafyllou A. Sukovic Debmalya Mandal Goran Radanović 341 0 0 17 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 428 22 0 17 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 420 9 0 11 Oct 2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal ModelsInternational Conference on Learning Representations (ICLR), 2023 Zeyu Zhou Ruqi Bai Sean Kulinski Murat Kocaoglu David I. Inouye CML 221 3 0 20 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Erdun Gao Bin Gu Tongliang Liu Kun Zhang 222 1 0 09 Jun 2023
Causal normalizing flows: from theory to practiceNeural Information Processing Systems (NeurIPS), 2023 Adrián Javaloy Pablo Sánchez-Martín Isabel Valera TPM CML AI4CE 354 38 0 08 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State SpacesNeural Information Processing Systems (NeurIPS), 2023 Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 260 13 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity ModelNeural Information Processing Systems (NeurIPS), 2023 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 409 13 0 02 Jun 2023
Learning Causally Disentangled Representations via the Principle of Independent Causal MechanismsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 369 16 0 02 Jun 2023