Practical Deep Learning with Bayesian Principles

6 June 2019

Mohammad Emtiyaz Khan

BDL

UQCV

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Papers citing "Practical Deep Learning with Bayesian Principles"

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Title
Uncertainty quantification in neural network classifiers -- a local linear approach Magnus Malmström Isaac Skog Daniel Axehill Fredrik K. Gustafsson UQCV 26 1 0 10 Mar 2023
The Lie-Group Bayesian Learning Rule E. M. Kıral Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 15 2 0 08 Mar 2023
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering Xu Zhang Wenpeng Li Yunfeng Shao Yinchuan Li FedML 19 4 0 08 Mar 2023
Variational Bayesian Neural Networks via Resolution of Singularities Susan Wei Edmund Lau BDL 16 1 0 13 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach Han Guo P. Greengard Hongyi Wang Andrew Gelman Yoon Kim Eric P. Xing FedML 21 20 0 08 Feb 2023
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 21 50 0 23 Nov 2022
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
The Implicit Delta Method Nathan Kallus James McInerney 23 1 0 11 Nov 2022
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks Nandar Hlaing P. G. Morato F. D. Santos W. Weijtjens C. Devriendt P. Rigo 9 6 0 31 Oct 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 37 2 0 26 Oct 2022
On the optimization and pruning for Bayesian deep learning X. Ke Yanan Fan BDL UQCV 27 1 0 24 Oct 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng Feng Zhou Jun Zhu BDL 47 19 0 23 Oct 2022
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing Georgios Rizos J. Lawson Simon Mitchell Pranay Shah Xin Wen Cristina Banks‐Leite R. Ewers Bjoern W. Schuller UQCV 16 2 0 19 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 26 76 0 05 Oct 2022
SAM as an Optimal Relaxation of Bayes Thomas Möllenhoff Mohammad Emtiyaz Khan BDL 29 32 0 04 Oct 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 30 17 0 29 Aug 2022
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors Gianluca Detommaso Alberto Gasparin A. Wilson Cédric Archambeau UQCV BDL 29 3 0 17 Jul 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 26 22 0 14 Jul 2022
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study Tom Huix Szymon Majewski Alain Durmus Eric Moulines Anna Korba BDL 13 6 0 08 Jul 2022
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 8 15 0 01 Jul 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 27 28 0 17 Jun 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 41 85 0 16 Jun 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling Jiri Hron Roman Novak Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 42 6 0 15 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan N. Gomez Adrien Morisot Sebastian Farquhar Y. Gal 41 148 0 14 Jun 2022
Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data M. Clare M. Piggott BDL 8 4 0 14 Jun 2022
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty M. Izzatullah I. Yildirim U. Waheed T. Alkhalifah 33 16 0 28 May 2022
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning M. Magris M. Shabani Alexandros Iosifidis BDL 39 4 0 23 May 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 21 12 0 20 May 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning Veit Wild Robert Hu Dino Sejdinovic BDL 45 11 0 12 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 30 6 0 02 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 16 48 0 01 May 2022
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics Mariana C. A. Clare Maike Sonnewald Redouane Lguensat Julie Deshayes Venkatramani Balaji BDL 18 31 0 30 Apr 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 21 48 0 30 Mar 2022
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets M. Magris M. Shabani Alexandros Iosifidis 28 9 0 07 Mar 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data Beau Coker W. Bruinsma David R. Burt Weiwei Pan Finale Doshi-Velez UQCV BDL 37 22 0 23 Feb 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer Tycho F. A. van der Ouderaa Gunnar Rätsch Vincent Fortuin Mark van der Wilk BDL 31 44 0 22 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks Duo Wang Yiren Zhao Ilia Shumailov Robert D. Mullins UQCV OOD BDL 18 0 0 09 Feb 2022
Stochastic Neural Networks with Infinite Width are Deterministic Liu Ziyin Hanlin Zhang Xiangming Meng Yuting Lu Eric P. Xing Masakuni Ueda 23 3 0 30 Jan 2022
Efficient Online Bayesian Inference for Neural Bandits Gerardo Duran-Martín Aleyna Kara Kevin Patrick Murphy BDL 19 13 0 01 Dec 2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule Miao Zhang Jilin Hu Steven W. Su Shirui Pan Xiaojun Chang B. Yang Gholamreza Haffari OOD 39 15 0 25 Nov 2021
Natural Gradient Variational Inference with Gaussian Mixture Models F. Mahdisoltani BDL 11 1 0 15 Nov 2021
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning Runa Eschenhagen Erik A. Daxberger Philipp Hennig Agustinus Kristiadi UQCV BDL 28 22 0 05 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 19 58 0 03 Nov 2021
Mixture-of-Variational-Experts for Continual Learning Y. Yin Yu Wang CLL FedML 10 6 0 25 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 13 19 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Learning PAC-Bayes Priors for Probabilistic Neural Networks Maria Perez-Ortiz Omar Rivasplata Benjamin Guedj M. Gleeson Jingyu Zhang John Shawe-Taylor M. Bober J. Kittler UQCV 53 31 0 21 Sep 2021
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation Linda S. L. Tan 25 11 0 01 Sep 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 31 25 0 23 Aug 2021