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Disentangling Factors of Variations Using Few Labels., , , , , and . ICLR, OpenReview.net, (2020)A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation., , , , , , and . J. Mach. Learn. Res., (2020)A Sparsity Principle for Partially Observable Causal Representation Learning., , , , , , and . CoRR, (2024)Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations., , , , and . CoRR, (2022)Boosting Variational Inference: an Optimization Perspective., , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 464-472. PMLR, (2018)Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization., , , , , and . CoRR, (2020)Towards Causal Representation Learning., , , , , , and . CoRR, (2021)Multi-View Causal Representation Learning with Partial Observability., , , , , , , and . CoRR, (2023)The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA., , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 217-227. AUAI Press, (2019)Relative representations enable zero-shot latent space communication., , , , , and . ICLR, OpenReview.net, (2023)