Probabilistic Meta-Representations Of Neural Networks

Probabilistic Meta-Representations Of Neural Networks

1 October 2018

Theofanis Karaletsos

Zoubin Ghahramani

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Papers citing "Probabilistic Meta-Representations Of Neural Networks"

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Title
Tackling covariate shift with node-based Bayesian neural networks Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski BDL UQCV 75 6 0 06 Jun 2022
TyXe: Pyro-based Bayesian neural nets for Pytorch H. Ritter Theofanis Karaletsos OOD MU BDL 136 6 0 01 Oct 2021
Compact and Optimal Deep Learning with Recurrent Parameter Generators Jiayun Wang Yubei Chen Stella X. Yu Brian Cheung Yann LeCun BDL 89 4 0 15 Jul 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 141 134 0 14 May 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 117 60 0 01 Mar 2021
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 94 27 0 04 Dec 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos T. Bui BDL 107 24 0 10 Feb 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks J. Swiatkowski Kevin Roth Bastiaan S. Veeling Linh-Tam Tran Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Rodolphe Jenatton Sebastian Nowozin BDL 89 47 0 07 Feb 2020
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 105 144 0 17 Jul 2019
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 125 37 0 16 Oct 2018