NeurIPS 2023 Workshop CRL Submissions

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Mark Ibrahim, Bernhard Schölkopf
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Expediting Reinforcement Learning by Incorporating Temporal Causal Information
Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Causal Modeling with Stationary Diffusions
Lars Lorch, Andreas Krause, Bernhard Schölkopf
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Learning to ignore: Single Source Domain Generalization via Oracle Regularization
Dong Kyu Cho, Sanghack Lee
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Object-Centric Semantic Vector Quantization
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Reward-Relevance-Filtered Linear Offline Reinforcement Learning
Angela Zhou
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
A Sparsity Principle for Partially Observable Causal Representation Learning
Danru Xu, Dingling Yao, Sebastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Debiasing Multimodal Models via Causal Information Minimization
Vaidehi Patil, Adyasha Maharana, Mohit Bansal
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data
Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Triangular Monotonic Generative Models Can Perform Causal Discovery
Quanhan Xi, Sebastian Gonzalez, Benjamin Bloem-Reddy
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
The Linear Representation Hypothesis and the Geometry of Large Language Models
Kiho Park, Yo Joong Choe, Victor Veitch
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Oral
- Readers: Everyone
Causal Regressions For Unstructured Data
Amandeep Singh, Bolong Zheng
- Published: 27 Oct 2023, Last Modified: 12 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
Amandeep Singh, Ye Liu, Hema Yoganarasimhan
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
Yi-Fu Wu, Klaus Greff, Gamaleldin Fathy Elsayed, Michael Curtis Mozer, Thomas Kipf, Sjoerd van Steenkiste
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Learning Causally-Aware Representations of Multi-Agent Interactions
Yuejiang Liu, Ahmad Rahimi, Po-Chien Luan, Frano Rajič, Alexandre Alahi
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Independent Mechanism Analysis and the Manifold Hypothesis
Shubhangi Ghosh, Luigi Gresele, Julius von Kügelgen, Michel Besserve, Bernhard Schölkopf
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Counterfactual Generative Models for Time-Varying Treatments
Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
Naiyu Yin, Hanjing Wang, Tian Gao, Amit Dhurandhar, Qiang Ji
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Attention for Causal Relationship Discovery from Biological Neural Dynamics
Ziyu Lu, Anika Tabassum, Shruti R. Kulkarn, Lu Mi, J. Nathan Kutz, Eric Todd SheaBrown, Seung-Hwan Lim
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
What's your Use Case? A Taxonomy of Causal Evaluations of Post-hoc Interpretability
David Reber, Cristina Garbacea, Victor Veitch
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Learning Macro Variables with Auto-encoders
Dhanya Sridhar, Eric Elmoznino, Maitreyi Swaroop
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Object-centric architectures enable efficient causal representation learning
Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Putting Causal Identification to the Test: Falsification using Multi-Environment Data
Rickard Karlsson, Ștefan Creastă, JH Krijthe
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Unfairness Detection within Power Systems through Transfer Counterfactual Learning
Song Wei, Xiangrui Kong, Sarah Ann Huestis-Mitchell, Yao Xie, Shixiang Zhu, Alinson Santos Xavier, Feng Qiu
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone