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SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision., , , and . NeurIPS, page 25591-25605. (2021)Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies., , , , , , and . NeurIPS, page 9895-9905. (2018)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)Unsupervised Model Selection for Variational Disentangled Representation Learning., , , , , , and . ICLR, OpenReview.net, (2020)Disentangling by Subspace Diffusion., , , and . NeurIPS, (2020)Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning., , and . ICLR, OpenReview.net, (2023)Hamiltonian Generative Networks., , , , , and . ICLR, OpenReview.net, (2020)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)