Bayesian Learning for Neural Networks: an algorithmic survey

21 November 2022

Papers citing "Bayesian Learning for Neural Networks: an algorithmic survey"

24 / 24 papers shown

Title
Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective You Zhang Jin Wang Liang-Chih Yu Dan Xu Xuejie Zhang 35 0 0 08 Mar 2025
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks Gael Gendron Michael Witbrock Gillian Dobbie CML BDL OOD 31 0 0 08 Oct 2024
Bayesian RG Flow in Neural Network Field Theories Jessica N. Howard Marc S. Klinger Anindita Maiti A. G. Stapleton 60 1 0 27 May 2024
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction Ubaid Azam Imran Razzak Shelly Vishwakarma Hakim Hacid Dell Zhang Shoaib Jameel UQCV ELM BDL 24 0 0 16 Apr 2024
Efficient Training of Probabilistic Neural Networks for Survival Analysis Christian Marius Lillelund Martin Magris Christian Fischer Pedersen 22 3 0 09 Apr 2024
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks Graham Pash M. Hassanaly S. Yellapantula AI4CE 32 0 0 28 Feb 2024
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning Farhad Pourkamali-Anaraki Jamal F. Husseini Scott E. Stapleton UD 40 2 0 21 Feb 2024
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing Wei Xu An Liu Yiting Zhang Vincent Lau BDL 16 1 0 12 Feb 2024
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion Ivo M. Baltruschat Parvaneh Janbakhshi Melanie Dohmen Matthias Lenga MedIm 21 2 0 20 Nov 2023
Variational Inference for GARCH-family Models M. Magris Alexandros Iosifidis 18 1 0 05 Oct 2023
Bayesian Reasoning for Physics Informed Neural Networks K. Graczyk Kornel Witkowski 25 0 0 25 Aug 2023
Gibbs Sampling the Posterior of Neural Networks Giovanni Piccioli Emanuele Troiani Lenka Zdeborová 20 2 0 05 Jun 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 20 1 0 12 Feb 2023
Variational Voxel Pseudo Image Tracking Illia Oleksiienko Paraskevi Nousi Nikolaos Passalis Anastasios Tefas Alexandros Iosifidis 14 1 0 12 Feb 2023
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 24 2 0 26 Oct 2022
Layer Ensembles Illia Oleksiienko Alexandros Iosifidis BDL UQCV 11 1 0 10 Oct 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks Ponkrshnan Thiagarajan Susanta Ghosh BDL 25 8 0 23 Sep 2022
Variational Neural Networks Illia Oleksiienko D. Tran Alexandros Iosifidis BDL UQCV 23 8 0 04 Jul 2022
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning M. Magris M. Shabani Alexandros Iosifidis BDL 31 4 0 23 May 2022
Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets M. Magris M. Shabani Alexandros Iosifidis 23 9 0 07 Mar 2022
Rao-Blackwellization in the MCMC era Christian P. Robert Gareth O. Roberts 32 9 0 04 Jan 2021
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 266 0 13 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015
Statistical exponential families: A digest with flash cards Frank Nielsen Vincent Garcia 80 183 0 25 Nov 2009