 Identifying General Mechanism Shifts in Linear Causal RepresentationsNeural Information Processing Systems (NeurIPS), 2024 |
 Identifiable Feature Learning for Spatial Data with Nonlinear ICAInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Causal Representation Learning Made Identifiable by Grouping of
Observational VariablesInternational Conference on Machine Learning (ICML), 2023 |
 Identifiable Energy-based Representations: An Application to Estimating
Heterogeneous Causal EffectsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 |
 Disentangling Identifiable Features from Noisy Data with Structured
Nonlinear ICANeural Information Processing Systems (NeurIPS), 2021 |
 D'ya like DAGs? A Survey on Structure Learning and Causal DiscoveryACM Computing Surveys (CSUR), 2021 |
