Author of the publication

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

On the Connection between Neural Processes and Gaussian Processes with Deep Kernels

T. Rudner, V. Fortuin, Y. Teh, and Y. Gal. (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernhard Fortuin

Georg Fortuin

Vinzenz Fortuin

Rigobert Fortuin

Vincent Tejedor

Other publications of authors with the same name

GP-VAE: Deep Probabilistic Time Series Imputation.V. Fortuin, D. Baranchuk, G. Rätsch, and S. Mandt. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1651-1661. PMLR, (2020)Factorized Gaussian Process Variational Autoencoders.M. Jazbec, M. Pearce, and V. Fortuin. CoRR, (2020)Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps.L. Manduchi, M. Hüser, G. Rätsch, and V. Fortuin. CoRR, (2019)Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series.V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch. CoRR, (2018)Sparse MoEs meet Efficient Ensembles.J. Allingham, F. Wenzel, Z. Mariet, B. Mustafa, J. Puigcerver, N. Houlsby, G. Jerfel, V. Fortuin, B. Lakshminarayanan, J. Snoek and 3 other author(s). Trans. Mach. Learn. Res., (2022)Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI.T. Papamarkou, M. Skoularidou, K. Palla, L. Aitchison, J. Arbel, D. Dunson, M. Filippone, V. Fortuin, P. Hennig, J. Hernández-Lobato and 15 other author(s). CoRR, (2024)Understanding Pathologies of Deep Heteroskedastic Regression.E. Wong-Toi, A. Boyd, V. Fortuin, and S. Mandt. CoRR, (2023)Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks.A. Möllers, A. Immer, E. Isufi, and V. Fortuin. CoRR, (2023)PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees.J. Rothfuss, V. Fortuin, and A. Krause. CoRR, (2020)Data augmentation in Bayesian neural networks and the cold posterior effect.S. Nabarro, S. Ganev, A. Garriga-Alonso, V. Fortuin, M. van der Wilk, and L. Aitchison. UAI, volume 180 of Proceedings of Machine Learning Research, page 1434-1444. PMLR, (2022)

BibSonomy

Disambiguation of "Fortuin, Vincent"

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

On the Connection between Neural Processes and Gaussian Processes with Deep Kernels

Please choose a person to relate this publication to

Bernhard Fortuin

Georg Fortuin

Vinzenz Fortuin

Rigobert Fortuin

Vincent Tejedor

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fortuin, Vincent"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the Connection between Neural Processes and Gaussian Processes with Deep Kernels

Please choose a person to relate this publication to

Bernhard Fortuin

Georg Fortuin

Vinzenz Fortuin

Rigobert Fortuin

Vincent Tejedor

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
Harvard
MSOffice XML

On the Connection between Neural Processes and Gaussian Processes with Deep Kernels