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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.

J. Swiatkowski, K. Roth, B. Veeling, L. Tran, J. Dillon, J. Snoek, S. Mandt, T. Salimans, R. Jenatton, and S. Nowozin. ICML, volume 119 of Proceedings of Machine Learning Research, page 9289-9299. PMLR, (2020)

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Bastiaan Spanjaard

Bastiaan Schot

Peter Bastiaan

Bastiaan Knoppers

Bastiaan Wielenga

Other publications of authors with the same name

Towards radiologist-level cancer risk assessment in CT lung screening using deep learning.S. Trajanovski, D. Mavroeidis, C. Swisher, B. Gebre, B. Veeling, R. Wiemker, T. Klinder, A. Tahmasebi, S. Regis, C. Wald and 4 other author(s). Comput. Medical Imaging Graph., (2021)Learning Sub-Sampling and Signal Recovery With Applications in Ultrasound Imaging.I. Huijben, B. Veeling, K. Janse, M. Mischi, and R. van Sloun. IEEE Trans. Medical Imaging, 39 (12): 3955-3966 (2020)How Good is the Bayes Posterior in Deep Neural Networks Really?F. Wenzel, K. Roth, B. Veeling, J. Swiatkowski, L. Tran, S. Mandt, J. Snoek, T. Salimans, R. Jenatton, and S. Nowozin. ICML, volume 119 of Proceedings of Machine Learning Research, page 10248-10259. PMLR, (2020)PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers.P. Lippe, B. Veeling, P. Perdikaris, R. Turner, and J. Brandstetter. CoRR, (2023)Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck.M. Federici, P. Forré, R. Tomioka, and B. Veeling. CoRR, (2023)Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks.J. Linmans, J. Winkens, B. Veeling, T. Cohen, and M. Welling. CoRR, (2018)Deep probabilistic subsampling for task-adaptive compressed sensing.I. Huijben, B. Veeling, and R. van Sloun. ICLR, OpenReview.net, (2020)Active Deep Probabilistic Subsampling.H. Gorp, I. Huijben, B. Veeling, N. Pezzotti, and R. van Sloun. ICML, volume 139 of Proceedings of Machine Learning Research, page 10509-10518. PMLR, (2021)Improved motif-scaffolding with SE(3) flow matching.J. Yim, A. Campbell, E. Mathieu, A. Foong, M. Gastegger, J. Jiménez-Luna, S. Lewis, V. Satorras, B. Veeling, F. Noé and 2 other author(s). CoRR, (2024)Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning.S. Löwe, P. O'Connor, and B. Veeling. CoRR, (2019)

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Disambiguation of "Veeling, Bastiaan S."

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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.

Please choose a person to relate this publication to

Bastiaan Spanjaard

Bastiaan Schot

Peter Bastiaan

Bastiaan Knoppers

Bastiaan Wielenga

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Veeling, Bastiaan S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.

Please choose a person to relate this publication to

Bastiaan Spanjaard

Bastiaan Schot

Peter Bastiaan

Bastiaan Knoppers

Bastiaan Wielenga

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.