Causal normalizing flows: from theory to practice

Causal normalizing flows: from theory to practice

8 June 2023

Adrián Javaloy

Pablo Sánchez-Martín

Papers citing "Causal normalizing flows: from theory to practice"

19 / 19 papers shown

Title
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination A. Majumdar Deborah D. Kanubala Kavya Gupta Isabel Valera FaML 54 0 0 28 Mar 2025
Interpretable Neural Causal Models with TRAM-DAGs Beate Sick Oliver Durr CML 48 1 0 20 Mar 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 39 0 0 19 Mar 2025
ACTIVA: Amortized Causal Effect Estimation without Graphs via Transformer-based Variational Autoencoder Andreas Sauter Saber Salehkaleybar Aske Plaat Erman Acar CML 48 0 0 03 Mar 2025
CausalMan: A physics-based simulator for large-scale causality Nicholas Tagliapietra J. Luettin Lavdim Halilaj Moritz Willig Tim Pychynski Kristian Kersting CML 57 0 0 18 Feb 2025
Marginal Causal Flows for Validation and Inference Daniel de Vassimon Manela Laura Battaglia Robin J. Evans CML 34 1 0 02 Nov 2024
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 31 0 0 24 Oct 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 42 1 0 08 Oct 2024
$χ$ SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains Harsh Poonia Moritz Willig Zhongjie Yu Matej Zečević Kristian Kersting Devendra Singh Dhami TPM CML 23 2 0 14 Aug 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges Audrey Poinsot Alessandro Leite Nicolas Chesneau Michèle Sébag Marc Schoenauer 54 3 0 08 May 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows Minjae Cho Jonathan P. How Chuangchuang Sun OODD OffRL 40 1 0 06 May 2024
FiP: a Fixed-Point Approach for Causal Generative Modeling M. Scetbon Joel Jennings Agrin Hilmkil Cheng Zhang Chao Ma 40 2 0 10 Apr 2024
Deep Learning With DAGs Sourabh Vivek Balgi Adel Daoud Jose M. Pena G. Wodtke Jesse Zhou AI4CE CML 27 1 0 12 Jan 2024
Deep Backtracking Counterfactuals for Causally Compliant Explanations Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach BDL 29 4 0 11 Oct 2023
Simulating counterfactuals J. Karvanen S. Tikka M. Vihola 30 0 0 27 Jun 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Erdun Gao Bin Gu Tongliang Liu Anton van den Hengel 27 1 0 09 Jun 2023
Causal Component Analysis Wendong Liang Armin Kekić Julius von Kügelgen Simon Buchholz M. Besserve Luigi Gresele Bernhard Schölkopf CML 32 36 0 26 May 2023
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 43 16 0 01 Nov 2022
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