Evaluating Bayesian deep learning for radio galaxy classification

28 May 2024

Papers citing "Evaluating Bayesian deep learning for radio galaxy classification"

20 / 20 papers shown

Title
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma Jacob R. Gardner BDL 77 17 0 24 May 2023
Radio Galaxy Zoo: Using semi-supervised learning to leverage large unlabelled data-sets for radio galaxy classification under data-set shift I. V. Slijepcevic A. Scaife Mike Walmsley Micah Bowles Ivy Wong S. Shabala H. Tang 35 17 0 19 Apr 2022
The Bayesian Learning Rule Mohammad Emtiyaz Khan Håvard Rue BDL 119 81 0 09 Jul 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 221 315 0 28 Jun 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect Lorenzo Noci Kevin Roth Gregor Bachmann Sebastian Nowozin Thomas Hofmann CML 59 26 0 11 Jun 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 74 387 0 29 Apr 2021
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning Alexander Immer Matthias Bauer Vincent Fortuin Gunnar Rätsch Mohammad Emtiyaz Khan BDL UQCV 133 109 0 11 Apr 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies Mike Walmsley Chris J. Lintott Tobias Geron Sandor Kruk Coleman M Krawczyk ... B. Simmons R. Smethurst Lewis Smith E. Baeten C. Macmillan MDE 124 84 0 16 Feb 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 245 167 0 14 Dec 2020
Attention-gating for improved radio galaxy classification Micah Bowles A. Scaife Fiona A. M. Porter Hongming Tang David J. Bastien 26 21 0 02 Dec 2020
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 74 76 0 14 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,374 0 08 Oct 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 249 1,427 0 21 Oct 2019
Data analysis recipes: Using Markov Chain Monte Carlo D. Hogg D. Foreman-Mackey 66 211 0 17 Oct 2017
Proximity Variational Inference Jaan Altosaar Rajesh Ranganath David M. Blei BDL 41 22 0 24 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 298 4,812 0 04 Jan 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 285 751 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,893 0 20 May 2015
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,282 0 09 Jun 2012