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Approximate Bayesian Inference in Spatial Environments.

, , , , и . Robotics: Science and Systems, (2019)

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Patrick der Smagt

Patrick der Smagt

Patrick van Kleef

Stefaan Van der Vekens

Christian van der Steeg

 

Другие публикации лиц с тем же именем

On Fast Dropout and its Applicability to Recurrent Networks., , , , и . ICLR (Poster), (2014)On Deep Set Learning and the Choice of Aggregations., , , и . ICANN (1), том 11727 из Lecture Notes in Computer Science, стр. 444-457. Springer, (2019)Approximate Bayesian Inference in Spatial Environments., , , , и . Robotics: Science and Systems, (2019)Latent Matters: Learning Deep State-Space Models., , , , и . NeurIPS, стр. 10234-10245. (2021)Learning Hierarchical Priors in VAEs., , , , и . NeurIPS, стр. 2866-2875. (2019)Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models., , , , и . ICLR, OpenReview.net, (2021)Probabilistic Dalek - Emulator framework with probabilistic prediction for supernova tomography., , , , и . CoRR, (2022)Dynamic movement primitives in latent space of time-dependent variational autoencoders., , и . Humanoids, стр. 629-636. IEEE, (2016)Solving the Ill-Conditioning in Neural Network Learning., и . Neural Networks: Tricks of the Trade, том 1524 из Lecture Notes in Computer Science, Springer, (1996)Increasing the Generalisaton Capacity of Conditional VAEs., , , , и . ICANN (2), том 11728 из Lecture Notes in Computer Science, стр. 779-791. Springer, (2019)