| Presenter(s) | Title |
|---|
| Abhishek Kumar Umrawal | Leveraging Causal Graphs for Blocking in Randomized Experiments |
| Alejandro Tejada Lapuerta | Neural Causal Models for single-cell perturbation response prediction |
| Alizée Pace | Offline Reinforcement Learning Under Confounding Uncertainty |
| Cecilia Casolo, Sören Becker, Kirtan Padh | Latent discovery in dynamical systems |
| Daigo Fujiwara | Causal Discovery for Non-stationary Non-linear Time Series Data Using Just-In-Time Modeling |
| Fabio Massimo Zennaro | Learning Abstractions between Structural Causal Models with Different Forms of Consistency |
| Natasa Tagasovska | Learning invariant features for biological sequences |
| Ji Won Park | Learning invariant features for biological sequences |
| Luca Castri | From Continual Learning to Causal Discovery in Robotics |
| Marco Fumero | Leveraging sparse and shared feature activations for disentangled representation learning |
| Yixin Wang | Harnessing Geometric Signatures in Causal Representation Learning |
| Sébastien Lachapelle | Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning |
| Presenter(s) | Title |
|---|
| Andreas Sauter | A Meta-Reinforcement Learning Algorithm for Causal Discovery |
| Alice Bizeul | Identifiability Results for Multimodal Contrastive Learning |
| Luigi Gresele | Embrace the Gap: VAEs Perform Independent Mechanism Analysis |
| Wojciech Niemiro | Local Dependence Graphs for Discrete Time Processes and Continuous Time Bayesian Networks |
| Sander Beckers | Causal Models with Constraints |
| Riccardo Massidda | Causal Discovery with Smooth Acyclic Orientations |
| Jakob Zeitler | Independent and invariant mechanisms in synthetic control |
| Saber Salehkaleybar | Experiment Design for Causal Structure Learning |
| Yuejiang Liu | Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning |
| Liyuan Xu | Neural conditional mean embeddings for causal reasoning |
| Zhijing Jin, Yuen Chen, Luigi Gresele, Felix Leeb | CLadder: Assessing Causal Reasoning in Language Models |
| Tristan Deleu | Causal Discovery with GFlowNets |
