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Interventional Causal Representation Learning

Interventional Causal Representation Learning

24 September 2022
Kartik Ahuja
Divyat Mahajan
Yixin Wang
Yoshua Bengio
    CML
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Papers citing "Interventional Causal Representation Learning"

13 / 13 papers shown
Title
Robustness of Nonlinear Representation Learning
Robustness of Nonlinear Representation Learning
Simon Buchholz
Bernhard Schölkopf
OOD
65
3
0
19 Mar 2025
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Yuhang Liu
Dong Gong
Erdun Gao
Zhen Zhang
Biwei Huang
Mingming Gong
Anton van den Hengel
Javen Qinfeng Shi
J. Shi
86
0
0
12 Mar 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
50
0
0
27 Feb 2025
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
99
0
0
31 Jan 2025
SSL Framework for Causal Inconsistency between Structures and Representations
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen
Xinyu Yang
Keqing Du
Wenya Wang
50
2
0
03 Jan 2025
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
64
3
0
30 Oct 2024
Linear causal disentanglement via higher-order cumulants
Linear causal disentanglement via higher-order cumulants
Paula Leyes Carreno
Chiara Meroni
A. Seigal
CML
21
0
0
05 Jul 2024
ExDAG: Exact learning of DAGs
ExDAG: Exact learning of DAGs
Pavel Rytír
Ales Wodecki
Jakub Marecek
CML
36
1
0
21 Jun 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Wenwen Qiang
CML
BDL
VLM
30
0
0
24 May 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Neuro-Causal Factor Analysis
Neuro-Causal Factor Analysis
Alex Markham
Ming-Yu Liu
Bryon Aragam
Liam Solus
CML
13
3
0
31 May 2023
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
206
0
17 Feb 2021
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
171
311
0
07 Feb 2020
1