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Markerless tracking of user-defined features with deep learning., , , , , , and . CoRR, (2018)Optimal Population Codes for Space: Grid Cells Outperform Place Cells., , and . Neural Comput., 24 (9): 2280-2317 (2012)A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives., , , and . CoRR, (2020)Pretraining boosts out-of-domain robustness for pose estimation., , , , , , and . WACV, page 1858-1867. IEEE, (2021)Perspectives on individual animal identification from biology and computer vision., , , , and . CoRR, (2021)Task-driven neural network models predict neural dynamics of proprioception, , , , , and . Cell, (2024)Seeing biodiversity: perspectives in machine learning for wildlife conservation., , , , , , , , , and 8 other author(s). CoRR, (2021)Pretraining boosts out-of-domain robustness for pose estimation., , , , and . CoRR, (2019)MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 233-250. PMLR, (2021)DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body., , and . NeurIPS, (2022)