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Causal Triplet: An Open Challenge for Intervention-centric Causal
  Representation Learning
v1v2 (latest)

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

CLEaR (CLEaR), 2023
12 January 2023
Yuejiang Liu
Alexandre Alahi
Chris Russell
Max Horn
Dominik Zietlow
Bernhard Schölkopf
Francesco Locatello
    CML
ArXiv (abs)PDFHTML

Papers citing "Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning"

19 / 19 papers shown
Title
Online Time Series Forecasting with Theoretical Guarantees
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li
Changze Zhou
Minghao Fu
Sanjay Manjunath
Fan Feng
Guangyi Chen
Yingyao Hu
Ruichu Cai
Kun Zhang
AI4TSOOD
112
0
0
21 Oct 2025
Learning Robust Intervention Representations with Delta Embeddings
Learning Robust Intervention Representations with Delta Embeddings
Panagiotis Alimisis
Christos Diou
OODCML
124
0
0
06 Aug 2025
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
Patrik Reizinger
Bálint Mucsányi
Siyuan Guo
Benjamin Eysenbach
Bernhard Schölkopf
Wieland Brendel
SSL
150
1
0
19 Jul 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Causal View of Time Series Imputation: Some Identification Results on Missing MechanismInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Ruichu Cai
Kaitao Zheng
Junxian Huang
Zijian Li
Zijian Li
Boyan Xu
Zhifeng Hao
AI4TSCML
317
0
0
12 May 2025
Are We Done with Object-Centric Learning?
Are We Done with Object-Centric Learning?
Alexander Rubinstein
Christian Schroeder de Witt
Matthias Bethge
Seong Joon Oh
OCL
2.0K
3
0
09 Apr 2025
Sanity Checking Causal Representation Learning on a Simple Real-World System
Sanity Checking Causal Representation Learning on a Simple Real-World System
Juan L. Gamella
Simon Bing
Jakob Runge
CML
411
2
0
27 Feb 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Ruichu Cai
Junxian Huang
Zhenhui Yang
Zijian Li
Emadeldeen Eldele
Min Wu
Gang Hua
OODCMLBDLAI4TS
251
0
0
23 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2025
Ruichu Cai
Haiqin Huang
Zhifang Jiang
Zijian Li
Changze Zhou
Yuequn Liu
Yuming Liu
Zijian Li
AI4TSCML
277
3
0
18 Feb 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models
Xintong Duan
Yutong He
Fahim Tajwar
Wen-Tse Chen
Ruslan Salakhutdinov
Jeff Schneider
OffRLAI4CE
312
1
0
22 Jan 2025
Compositional Risk Minimization
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Charles Arnal
Alexia Jolicoeur-Martineau
Kartik Ahuja
Pascal Vincent
404
9
0
08 Oct 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
518
12
0
22 Jul 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
232
4
0
30 Jun 2024
From Orthogonality to Dependency: Learning Disentangled Representation
  for Multi-Modal Time-Series Sensing Signals
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
Ruichu Cai
Zhifan Jiang
Zijian Li
Weilin Chen
Xuexin Chen
Zhifeng Hao
Yifan Shen
Guan-Hong Chen
Kun Zhang
263
3
0
25 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence
On the Identification of Temporally Causal Representation with Instantaneous Dependence
Zijian Li
Yifan Shen
Kaitao Zheng
Ruichu Cai
Xiangchen Song
Biwei Huang
Zhengmao Zhu
Guan-Hong Chen
CML
498
11
0
24 May 2024
Implicit Causal Representation Learning via Switchable Mechanisms
Implicit Causal Representation Learning via Switchable Mechanisms
Shayan Shirahmad Gale Bagi
Zahra Gharaee
Oliver Schulte
Mark Crowley
CML
351
0
0
16 Feb 2024
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
Yuejiang Liu
Ahmad Rahimi
Po-Chien Luan
Frano Rajic
Alexandre Alahi
354
6
0
07 Dec 2023
Object-Centric Multiple Object Tracking
Object-Centric Multiple Object TrackingIEEE International Conference on Computer Vision (ICCV), 2023
Zixu Zhao
Jiaze Wang
Max Horn
Yizhuo Ding
Tong He
...
Bernt Schiele
Yanwei Fu
Francesco Locatello
Zheng Zhang
Tianjun Xiao
VOTOCL
282
9
0
01 Sep 2023
Learning Linear Causal Representations from Interventions under General
  Nonlinear Mixing
Learning Linear Causal Representations from Interventions under General Nonlinear MixingNeural Information Processing Systems (NeurIPS), 2023
Simon Buchholz
Goutham Rajendran
Elan Rosenfeld
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
CML
310
76
0
04 Jun 2023
Interventional Causal Representation Learning
Interventional Causal Representation LearningInternational Conference on Machine Learning (ICML), 2022
Kartik Ahuja
Divyat Mahajan
Yixin Wang
Yoshua Bengio
CML
344
114
0
24 Sep 2022
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