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Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.

, , , , и . ICLR, OpenReview.net, (2021)

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Patrick der Smagt

Patrick der Smagt

Patrick van Kleef

Stefaan Van der Vekens

Christian van der Steeg

 

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Multi-Source Neural Variational Inference., , и . AAAI, стр. 4114-4121. AAAI Press, (2019)Local Distance Preserving Auto-encoders using Continuous kNN Graphs., , и . TAG-ML, том 196 из Proceedings of Machine Learning Research, стр. 55-66. PMLR, (2022)Filter-Aware Model-Predictive Control., , , , и . L4DC, том 211 из Proceedings of Machine Learning Research, стр. 1441-1454. PMLR, (2023)Model-free robot anomaly detection., , , , и . IROS, стр. 3676-3683. IEEE, (2014)Cerebellar control of robot arms. Connection Science, (1998)Image Super-Resolution with Fast Approximate Convolutional Sparse Coding., , и . ICONIP (3), том 8836 из Lecture Notes in Computer Science, стр. 250-257. Springer, (2014)Conditioning vs. excitation time for estimating impedance parameters of the human arm., , и . Humanoids, стр. 636-642. IEEE, (2011)Continual Learning with Bayesian Neural Networks for Non-Stationary Data., , , , и . ICLR, OpenReview.net, (2020)Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform., , , , , , , , , и 22 other автор(ы). Frontiers Neurorobotics, (2017)Stable reinforcement learning with autoencoders for tactile and visual data., , , , и . IROS, стр. 3928-3934. IEEE, (2016)