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Counterfactual Prediction with Deep Instrumental Variables Networks, , , and . (2016)cite arxiv:1612.09596.Object-centric architectures enable efficient causal representation learning., , , and . CoRR, (2023)Leveraging Structure Between Environments: Phylogenetic Regularization Incentivizes Disentangled Representations., , , , and . CoRR, (2024)Object centric architectures enable efficient causal representation learning., , , and . ICLR, OpenReview.net, (2024)Deep Models of Interactions Across Sets., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 1914-1923. PMLR, (2018)DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks., , , , , and . CoRR, (2023)Properties from mechanisms: an equivariance perspective on identifiable representation learning., , and . ICLR, OpenReview.net, (2022)Propensity Score Alignment of Unpaired Multimodal Data., and . CoRR, (2024)Valid Causal Inference with (Some) Invalid Instruments., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4096-4106. PMLR, (2021)Targeted Sequential Indirect Experiment Design., , , and . CoRR, (2024)