UAI 2022 Workshop CRL Submissions

On the DCI Framework for Evaluating Disentangled Representations: Extensions and Connections to Identifiability
Cian Eastwood, Andrei Liviu Nicolicioiu, Julius Von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Structure by Architecture: Disentangled Representations without Regularization
Felix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Bias Challenges in Counterfactual Data Augmentation
S Chandra Mouli, Yangze Zhou, Bruno Ribeiro
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Probing the Robustness of Independent Mechanism Analysis for Representation Learning
Joanna Sliwa, Shubhangi Ghosh, Vincent Stimper, Luigi Gresele, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Towards a Grounded Theory of Causation for Embodied AI
Taco Cohen
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Selection Collider Bias in Large Language Models
Emily McMilin
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Explanatory World Models via Look Ahead Attention for Credit Assignment
Oriol Corcoll, Raul Vicente
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
Mauricio Tec, James G. Scott, Corwin Zigler
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Invariance-Based Causal Estimation in the Presence of Concept Drift
Katie Matton, John Guttag, Rosalind Picard
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Leveraging Structure Between Environments: Phylogenetic Regularization Incentivizes Disentangled Representations
Elliot Layne, Dhanya Sridhar, Jason Hartford, Mathieu Blanchette
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Identifiability of deep generative models under mixture priors without auxiliary information
Bohdan Kivva, Goutham Rajendran, Pradeep Kumar Ravikumar, Bryon Aragam
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Learning Causal Representations with Granger PCA
Gherardo Varando, Miguel-Ángel Fernández-Torres, Jordi Muñoz-Marí, Gustau Camps-Valls
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Partial Disentanglement via Mechanism Sparsity
Sebastien Lachapelle, Simon Lacoste-Julien
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Oral
- Readers: Everyone
Function Classes for Identifiable Nonlinear Independent Component Analysis
Simon Buchholz, Michel Besserve, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Homomorphism Autoencoder --- Learning Group Structured Representations from Interactions
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
A Meta-Reinforcement Learning Algorithm for Causal Discovery
Andreas W.M. Sauter, Erman Acar, Vincent Francois-Lavet
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Towards Computing an Optimal Abstraction for Structural Causal Models
Fabio Massimo Zennaro, Paolo Turrini, Theo Damoulas
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Multivariable Causal Discovery with General Nonlinear Relationships
Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Oral
- Readers: Everyone
Can Large Language Models Distinguish Cause from Effect?
Zhiheng LYU, Zhijing Jin, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Can Foundation Models Talk Causality?
Moritz Willig, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Abstraction between Structural Causal Models: A Review of Definitions and Properties
Fabio Massimo Zennaro
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Oral
- Readers: Everyone
GlanceNets: Interpretabile, Leak-proof Concept-based Models
Emanuele Marconato, Andrea Passerini, Stefano Teso
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause
- Published: 09 Jul 2022, Last Modified: 22 Oct 2023
- CRL@UAI 2022 Poster
- Readers: Everyone
Causal Class Activation Maps for Weakly-Supervised Semantic Segmentation
Yiping Wang
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Oral
- Readers: Everyone
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells Rodas, Ruibo Tu, Yingzhen Li, Hedvig Kjellstrom
- Published: 09 Jul 2022, Last Modified: 05 May 2023
- CRL@UAI 2022 Poster
- Readers: Everyone