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2101.06046
Cited By
Counterfactual Generative Networks
15 January 2021
Axel Sauer
Andreas Geiger
OOD
BDL
CML
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Papers citing
"Counterfactual Generative Networks"
19 / 19 papers shown
Title
Are We Done with Object-Centric Learning?
Alexander Rubinstein
Ameya Prabhu
Matthias Bethge
Seong Joon Oh
OCL
534
0
0
09 Apr 2025
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
Lokesh Nagalapatti
Pranava Singhal
Avishek Ghosh
Sunita Sarawagi
CML
70
0
0
07 Feb 2025
Counterfactual Generative Modeling with Variational Causal Inference
Yulun Wu
Louie McConnell
Claudia Iriondo
CML
BDL
22
0
0
16 Oct 2024
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVM
CML
33
5
0
29 Mar 2024
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
Zeyu Zhou
Ruqi Bai
Sean Kulinski
Murat Kocaoglu
David I. Inouye
CML
19
1
0
20 Jun 2023
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
13
0
0
29 May 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
39
11
0
29 Jan 2023
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges
Matej Zečević
Moritz Willig
D. Dhami
Kristian Kersting
13
0
0
23 Dec 2022
Deep Structural Causal Shape Models
Rajat Rasal
Daniel Coelho De Castro
Nick Pawlowski
Ben Glocker
3DV
MedIm
20
12
0
23 Aug 2022
GLANCE: Global to Local Architecture-Neutral Concept-based Explanations
Avinash Kori
Ben Glocker
Francesca Toni
9
6
0
05 Jul 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models
Ainkaran Santhirasekaram
Avinash Kori
A. Rockall
Mathias Winkler
Francesca Toni
Ben Glocker
FAtt
25
4
0
05 Jul 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt
M. Schuessler
Oana-Iuliana Popescu
Philipp Weiß
Tim Landgraf
FAtt
16
14
0
25 Apr 2022
Diffusion Causal Models for Counterfactual Estimation
Pedro Sanchez
Sotirios A. Tsaftaris
DiffM
BDL
13
67
0
21 Feb 2022
Making a (Counterfactual) Difference One Rationale at a Time
Michael J. Plyler
Michal Green
Min Chi
13
10
0
13 Jan 2022
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization
Xingchao Liu
Chengyue Gong
Lemeng Wu
Shujian Zhang
Haoran Su
Qiang Liu
CLIP
21
89
0
02 Dec 2021
Projected GANs Converge Faster
Axel Sauer
Kashyap Chitta
Jens Muller
Andreas Geiger
15
234
0
01 Nov 2021
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas
Ruibo Tu
Hedvig Kjellström
Yingzhen Li
Gabriele Schweikert
Hedvig Kjellstrom
Yingzhen Li
BDL
CML
AI4TS
32
5
0
12 Oct 2021
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
63
13
0
25 Apr 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Pau Rodríguez López
Massimo Caccia
Alexandre Lacoste
L. Zamparo
I. Laradji
Laurent Charlin
David Vazquez
AAML
14
55
0
18 Mar 2021
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