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Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments.

, , , , and . SAP, page 1:1-1:9. ACM, (2020)

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Learning Sparse Codes with Entropy-Based ELBOs., , , and . CoRR, (2023)The Variational Coupled Gaussian Process Dynamical Model., , and . ICANN (1), volume 10613 of Lecture Notes in Computer Science, page 291-299. Springer, (2017)Predicting Perceived Naturalness of Human Animations Based on Generative Movement Primitive Models., , , and . ACM Trans. Appl. Percept., 16 (3): 15:1-15:18 (2019)Making the Coupled Gaussian Process Dynamical Model Modular and Scalable with Variational Approximations., , and . Entropy, 20 (10): 724 (2018)The ELBO of Variational Autoencoders Converges to a Sum of Entropies., , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3931-3960. PMLR, (2023)A CMOS-based sensor array for in-vitro neural tissue interfacing with 4225 recording sites and 1024 stimulation sites., , , , , , , , , and 6 other author(s). BioCAS, page 304-307. IEEE, (2014)Learning Sparse Codes with Entropy-Based ELBOs., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 2089-2097. PMLR, (2024)Evaluating Perceptual Predictions based on Movement Primitive Models in VR- and Online-Experiments., , , , and . SAP, page 1:1-1:9. ACM, (2020)