NeurIPS 2023 Workshop CRL Submissions

Towards the Reusability and Compositionality of Causal Representations
Davide Talon, Phillip Lippe, Stuart James, Alessio Del Bue, Sara Magliacane
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models
Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
A Causal Ordering Prior for Unsupervised Representation Learning
Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Identifying Representations for Intervention Extrapolation
Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Oral
- Readers: Everyone
Identifying Effects of Disease on Single-Cells with Domain-Invariant Generative Modeling
Abdul Moeed, Martin Rohbeck, Kai Ueltzhoeffer, Pavlo Lutsik, Oliver Stegle, Marc Jan Bonder
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Oral
- Readers: Everyone
Learning Object Motion and Appearance Dynamics with Object-Centric Representations
Yeon-Ji Song, Hyunseo Kim, Suhyung Choi, Jin-Hwa Kim, Byoung-Tak Zhang
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Hierarchical Causal Representation Learning
Angelos Nalmpantis, Phillip Lippe, Sara Magliacane
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Exploiting Causal Representations in Reinforcement Learning: A Posterior Sampling Approach
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Cells2Vec: Bridging the gap between experiments and simulations using causal representation learning
Dhruva Rajwade, Atiyeh Ahmadi, Brian Paul Ingalls
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Mixup-Based Knowledge Distillation with Causal Intervention for Multi-Task Speech Classification
Kwangje Baeg, Hyeopwoo Lee, Yeomin Yoon, Jongmo Kim
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Score-based Causal Representation Learning from Interventions: Nonparametric Identifiability
Burak Varici, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Oral
- Readers: Everyone
Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation
Hsiao-Ru Pan, Bernhard Schölkopf
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Towards representation learning for general weighting problems in causal inference
Oscar Clivio, Avi Feller, Christopher C. Holmes
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
DISK: Domain Inference for Discovering Spurious Correlation with KL-Divergence
Yujin Han, Difan Zou
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Multi-View Causal Representation Learning with Partial Observability
Dingling Yao, Danru Xu, Sebastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Oral
- Readers: Everyone
Multi-Domain Causal Representation Learning via Weak Distributional Invariances
Kartik Ahuja, Amin Mansouri, Yixin Wang
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Instance-Dependent Partial Label Learning with Identifiable Causal Representations
Yizhi Wang, Weijia Zhang, Min-Ling Zhang
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Invariance & Causal Representation Learning: Prospects and Limitations
Simon Bing, Jonas Wahl, Urmi Ninad, Jakob Runge
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Curvature and Causal Inference in Network Data
Amirhossein Farzam, Allen Tannenbaum, Guillermo Sapiro
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
- Published: 27 Oct 2023, Last Modified: 05 Dec 2023
- CRL@NeurIPS 2023 Poster
- Readers: Everyone