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Representation Matters: Improving Perception and Exploration for Robotics., , , , , , , , , and 1 other author(s). CoRR, (2020)Representation learning for improved interpretability and classification accuracy of clinical factors from EEG., , , , , , , , and . ICLR, OpenReview.net, (2021)Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies., , , , , , and . NeurIPS, page 9895-9905. (2018)SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision., , , and . NeurIPS, page 25591-25605. (2021)Hamiltonian Generative Networks., , , , , and . ICLR, OpenReview.net, (2020)SCAN: Learning Hierarchical Compositional Visual Concepts., , , , , , , , , and . ICLR (Poster), OpenReview.net, (2018)beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework., , , , , , , and . ICLR (Poster), OpenReview.net, (2017)DARLA: Improving Zero-Shot Transfer in Reinforcement Learning., , , , , , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1480-1490. PMLR, (2017)Representation Matters: Improving Perception and Exploration for Robotics., , , , , , , , , and 1 other author(s). ICRA, page 6512-6519. IEEE, (2021)Which priors matter? Benchmarking models for learning latent dynamics., , , , and . NeurIPS Datasets and Benchmarks, (2021)