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2109.01904
Cited By
Estimating Categorical Counterfactuals via Deep Twin Networks
4 September 2021
Athanasios Vlontzos
Bernhard Kainz
Ciarán M. Gilligan-Lee
OOD
CML
BDL
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Papers citing
"Estimating Categorical Counterfactuals via Deep Twin Networks"
12 / 12 papers shown
Title
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
Michael O'Riordan
Ciarán M. Gilligan-Lee
CML
41
0
0
24 Mar 2025
Evaluation of Large Language Models via Coupled Token Generation
N. C. Benz
Stratis Tsirtsis
Eleni Straitouri
Ivi Chatzi
Ander Artola Velasco
Suhas Thejaswi
Manuel Gomez Rodriguez
46
0
0
03 Feb 2025
Contrastive representations of high-dimensional, structured treatments
Oriol Corcoll Andreu
Athanasios Vlontzos
Michael O'Riordan
Ciarán M. Gilligan-Lee
CML
66
1
0
28 Nov 2024
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu
Louie McConnell
Claudia Iriondo
CML
BDL
24
0
0
16 Oct 2024
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
Jiangmeng Li
Bin Qin
Qirui Ji
Yi Li
Wenwen Qiang
Jianwen Cao
Fanjiang Xu
44
0
0
17 Jun 2024
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVM
CML
41
7
0
29 Mar 2024
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
34
57
0
11 Jul 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
13
11
0
02 Jun 2023
Counterfactual (Non-)identifiability of Learned Structural Causal Models
Arash Nasr-Esfahany
Emre Kıcıman
24
11
0
22 Jan 2023
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen
Ciarán M. Gilligan-Lee
Rishabh Mehrotra
M. Lalmas
CML
34
12
0
11 Oct 2022
Causal Machine Learning for Healthcare and Precision Medicine
Pedro Sanchez
J. Voisey
Tian Xia
Hannah I. Watson
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
CML
39
108
0
23 May 2022
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
215
719
0
12 May 2016
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