Workshop Schedule

Monday, 17th April

Legend: Talk · Poster · Discussion · Break
TimeProgramFormat
09:30 - 09:40Introductory remarks by the organizing teamIn-person
09:40 - 10:00Bernhard Schölkopf: "What is Causal Representation Learning?"In-person
10:00 - 10:20Xinwei Shen: “Robust Learning: a Causal Representation Perspective”In-person
10:20 - 10:30Discussion-
10:30 - 11:00Coffee break-
11:00 - 11:20Junhyung Park: “A Measure-theoretic Axiomatization of Causality”In-person
11:20 - 11:40Adele H. Ribeiro: “Effect Identification in Cluster Causal Diagrams”In-person
11:40 - 12:00Armin Kekić: “Evaluating vaccine allocation strategies using simulation-assisted causal modelling”In-person
12:00 - 12:30Discussion-
12:30 - 13:30Lunch break-
13:30 - 13:50Hiroshi Morioka: “Connectivity-Contrastive Learning: Combining Causal Discovery and Representation Learning for Multimodal Data”In-person
13:50 - 14:10Michel Besserve: "Inductive Biases for Unsupervised Causal Representation Learning"In-person
14:10 - 14:30Sébastien Lachapelle: “Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning”In-person
14:30 - 15:00Discussion-
15:00 - 15:30Coffee break-
15:30 - 15:50Chris Williams: “Structured Generative Models for Scene Understanding”Remote
15:50 - 16:00Discussion & Wrap-up-
16:00 - 18:00Poster SessionIn-person
18:00 -Reception & Networking-

Tuesday, 18th April

TimeProgramFormat
09:30 - 09:50Karthika Mohan: “Causal Inference with Non-IID Data under Model Uncertainty”In-person
09:50 - 10:10Siyuan Guo: “Moving beyond i.i.d: Causal de Finetti and OOV Generalization”In-person
10:10 - 10:30Discussion-
10:30 - 11:00Coffee break-
11:00 - 11:20Marco Fumero: "Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning"In-person
11:20 - 11:40Weiyang Liu: "Can Causality Help 3D Reconstruction"In-person
11:40 - 12:00Felix Leeb: "Structure by Architecture: Structuring Representations beyond Disentanglement"In-person
12:00 - 12:30Discussion-
12:30 - 13:30Lunch break-
13:30 - 13:50Simon Buchholz: "Causal Representation Learning in Restricted Function Classes"In-person
13:50 - 14:10Nils Sturma: “Unpaired Multi-Domain Causal Representation Learning”In-person
14:10 - 14:30Kartik Ahuja: “Interventional Causal Representation Learning”In-person
14:30 - 15:00Discussion-
15:00 - 15:30Coffee break-
15:30 - 15:50Zihao Wang: “Concept Algebra for Text-Controlled Vision Models”Remote
15:50 - 16:10Yoshua Bengio: “GFlowNets for Amortized Probabilistic Inference and Bayesian Causal Discovery”Remote
16:10 - 16:30Discussion & Wrap-up-
16:30 - 18:30Poster SessionIn-person
19:15 - 19:30Welcome remarks-
19:30 - 22:00Dinner (Restaurant Mauganeschtle Tübingen)-
22:00 -Closing remarks-

Wednesday, 19th April

TimeProgramFormat
10:00 - 12:00Hike-
12:00 - 12:20Goutham Rajendran: “Identifiability of Deep Generative Models”In-person
12:20 - 12:30Discussion-
12:30 - 13:30Lunch break-
13:30 - 13:50Atticus Geiger: “Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations”In-person
13:50 - 14:10Zhijing Jin: "CausalNLP: Exploring Synergies between NLP and Causal Inference Communities"In-person
14:10 - 14:30Discussion-
14:30 - 15:00Coffee break-
15:00 - 15:20Julius von Kügelgen: "Learning from Sparse Mechanism Shifts Across Environments"In-person
15:20 - 15:40Francesco Montagna: “Inference of Causal Graphs with Score Matching”In-person
15:40 - 16:00Discussion-
16:00 - 17:00Roundtable discussion & Closing remarksIn-person
All times according to Central European Summer Time (CEST).