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Towards Causal Representation Learning

Towards Causal Representation Learning

22 February 2021
Bernhard Schölkopf
Francesco Locatello
Stefan Bauer
Nan Rosemary Ke
Nal Kalchbrenner
Anirudh Goyal
Yoshua Bengio
    OOD
    CML
    AI4CE
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Papers citing "Towards Causal Representation Learning"

50 / 83 papers shown
Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Zhen Zhang
OffRL
CML
29
0
0
13 May 2025
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval
Object-Aware DINO (Oh-A-Dino): Enhancing Self-Supervised Representations for Multi-Object Instance Retrieval
Stefan Sylvius Wagner
Stefan Harmeling
OCL
76
0
0
12 Mar 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
Ruichu Cai
Yuxuan Zhu
Xuexin Chen
Yuan Fang
Min-man Wu
Jie Qiao
Zhifeng Hao
54
7
0
31 Dec 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
John Wu
David Wu
Jimeng Sun
52
1
0
31 Oct 2024
Analyzing (In)Abilities of SAEs via Formal Languages
Analyzing (In)Abilities of SAEs via Formal Languages
Abhinav Menon
Manish Shrivastava
David M. Krueger
Ekdeep Singh Lubana
47
7
0
15 Oct 2024
Benchmarking Counterfactual Image Generation
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVM
CML
46
7
0
29 Mar 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
Wenzhao Jiang
Hao Liu
Hui Xiong
CML
AI4CE
49
2
0
19 Dec 2023
Situation-Dependent Causal Influence-Based Cooperative Multi-agent
  Reinforcement Learning
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning
Xiao Du
Yutong Ye
Peng Zhang
Yaning Yang
Mingsong Chen
Ting Wang
35
4
0
15 Dec 2023
Causal Representation Learning Made Identifiable by Grouping of
  Observational Variables
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
H. Morioka
Aapo Hyvarinen
OOD
CML
BDL
33
9
0
24 Oct 2023
Is attention all you need in medical image analysis? A review
Is attention all you need in medical image analysis? A review
G. Papanastasiou
Nikolaos Dikaios
Jiahao Huang
Chengjia Wang
Guang Yang
ViT
MedIm
25
23
0
24 Jul 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
Ruta Binkyt.e
D. Gorla
C. Palamidessi
FaML
30
1
0
06 Jul 2023
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
23
6
0
02 Jul 2023
An Invariant Learning Characterization of Controlled Text Generation
An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
38
8
0
31 May 2023
On Counterfactual Data Augmentation Under Confounding
On Counterfactual Data Augmentation Under Confounding
Abbavaram Gowtham Reddy
Saketh Bachu
Saloni Dash
Charchit Sharma
Amit Sharma
V. Balasubramanian
CML
BDL
33
0
0
29 May 2023
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem
Jose Alvarez Colmenares
CML
26
0
0
16 May 2023
Hierarchically Fusing Long and Short-Term User Interests for
  Click-Through Rate Prediction in Product Search
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search
Qijie Shen
Hong Wen
Jing Zhang
Qi Rao
27
13
0
04 Apr 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case
  Sharpness Minimization
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
Zhuo Huang
Miaoxi Zhu
Xiaobo Xia
Li Shen
Jun Yu
Chen Gong
Bo Han
Bo Du
Tongliang Liu
35
31
0
23 Mar 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
E. Ponti
MoMe
OOD
32
73
0
22 Feb 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
CML
29
10
0
20 Feb 2023
Simple Disentanglement of Style and Content in Visual Representations
Simple Disentanglement of Style and Content in Visual Representations
Lilian Ngweta
Subha Maity
Alex Gittens
Yuekai Sun
Mikhail Yurochkin
CoGe
DRL
32
7
0
20 Feb 2023
Generative Causal Representation Learning for Out-of-Distribution Motion
  Forecasting
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
Shayan Shirahmad Gale Bagi
Zahra Gharaee
Oliver Schulte
Mark Crowley
OODD
OOD
23
12
0
17 Feb 2023
On the Interventional Kullback-Leibler Divergence
On the Interventional Kullback-Leibler Divergence
J. Wildberger
Siyuan Guo
Arnab Bhattacharyya
Bernhard Schölkopf
OOD
CML
31
6
0
10 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and
  Opportunities
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
CML
41
11
0
30 Jan 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal
  Representation Learning
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
Yuejiang Liu
Alexandre Alahi
Chris Russell
Max Horn
Dominik Zietlow
Bernhard Schölkopf
Francesco Locatello
CML
56
22
0
12 Jan 2023
Exploring Optimal Substructure for Out-of-distribution Generalization
  via Feature-targeted Model Pruning
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Yingchun Wang
Jingcai Guo
Song Guo
Weizhan Zhang
Jiewei Zhang
OODD
37
16
0
19 Dec 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
326
28
0
04 Nov 2022
Causal Discovery of Dynamic Models for Predicting Human Spatial
  Interactions
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
44
18
0
29 Oct 2022
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
35
4
0
06 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning
Bridging the Gap to Real-World Object-Centric Learning
Maximilian Seitzer
Max Horn
Andrii Zadaianchuk
Dominik Zietlow
Tianjun Xiao
...
Tong He
Zheng-Wei Zhang
Bernhard Schölkopf
Thomas Brox
Francesco Locatello
OCL
45
140
0
29 Sep 2022
Causal inference in drug discovery and development
Causal inference in drug discovery and development
T. Michoel
J. Zhang
CML
36
17
0
29 Sep 2022
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic
  Cardiovascular Signals
A Causal Intervention Scheme for Semantic Segmentation of Quasi-periodic Cardiovascular Signals
Xingyao Wang
Yuwen Li
Hongxiang Gao
Xianghong Cheng
Jianqing Li
Chengyu Liu
24
6
0
19 Sep 2022
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
28
90
0
14 Sep 2022
Conditional Independence Testing via Latent Representation Learning
Conditional Independence Testing via Latent Representation Learning
Bao Duong
T. Nguyen
BDL
CML
28
6
0
04 Sep 2022
Towards Computing an Optimal Abstraction for Structural Causal Models
Towards Computing an Optimal Abstraction for Structural Causal Models
Fabio Massimo Zennaro
P. Turrini
Theodoros Damoulas
25
1
0
01 Aug 2022
Towards Intercultural Affect Recognition: Audio-Visual Affect
  Recognition in the Wild Across Six Cultures
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures
Leena Mathur
R. Adolphs
Maja J. Matarić
CVBM
35
1
0
31 Jul 2022
Leveraging Explanations in Interactive Machine Learning: An Overview
Leveraging Explanations in Interactive Machine Learning: An Overview
Stefano Teso
Öznur Alkan
Wolfgang Stammer
Elizabeth M. Daly
XAI
FAtt
LRM
26
62
0
29 Jul 2022
Repeated Environment Inference for Invariant Learning
Repeated Environment Inference for Invariant Learning
Aayush Mishra
Anqi Liu
BDL
OOD
28
0
0
26 Jul 2022
Structural Causal 3D Reconstruction
Structural Causal 3D Reconstruction
Weiyang Liu
Zhen Liu
Liam Paull
Adrian Weller
Bernhard Schölkopf
3DV
CML
38
13
0
20 Jul 2022
Data-Centric Epidemic Forecasting: A Survey
Data-Centric Epidemic Forecasting: A Survey
Alexander Rodríguez
Harshavardhan Kamarthi
Pulak Agarwal
Javen Ho
Mira Patel
Suchet Sapre
B. Prakash
OOD
29
18
0
19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
60
71
0
19 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
126
32
0
04 Jul 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online
  Handwriting Recognition with Domain Shift
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift
Andreas Klass
Sven M. Lorenz
M. Lauer-Schmaltz
David Rügamer
Bernd Bischl
Christopher Mutschler
Felix Ott
34
10
0
17 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
CML
AI4CE
28
18
0
16 Jun 2022
Image-based Treatment Effect Heterogeneity
Image-based Treatment Effect Heterogeneity
Connor Jerzak
Fredrik D. Johansson
Adel Daoud
32
20
0
13 Jun 2022
Learning What and Where: Disentangling Location and Identity Tracking
  Without Supervision
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
Manuel Traub
S. Otte
Tobias Menge
Matthias Karlbauer
Jannik Thummel
Martin Volker Butz
34
20
0
26 May 2022
Causal Machine Learning for Healthcare and Precision Medicine
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
42
109
0
23 May 2022
Weakly supervised causal representation learning
Weakly supervised causal representation learning
Johann Brehmer
P. D. Haan
Phillip Lippe
Taco S. Cohen
OOD
CML
33
120
0
30 Mar 2022
Causality Inspired Representation Learning for Domain Generalization
Causality Inspired Representation Learning for Domain Generalization
Fangrui Lv
Jian Liang
Shuang Li
Bin Zang
Chi Harold Liu
Ziteng Wang
Di Liu
CML
OOD
30
160
0
27 Mar 2022
A World-Self Model Towards Understanding Intelligence
A World-Self Model Towards Understanding Intelligence
Yutao Yue
32
2
0
25 Mar 2022
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