Langevin-gradient parallel tempering for Bayesian neural learning

11 November 2018

Papers citing "Langevin-gradient parallel tempering for Bayesian neural learning"

8 / 8 papers shown

Title
SMOTified-GAN for class imbalanced pattern classification problems Anuraganand Sharma P. K. Singh Rohitash Chandra 25 75 0 06 Aug 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
COVID-19 sentiment analysis via deep learning during the rise of novel cases Rohitash Chandra Aswin Krishna 38 97 0 05 Apr 2021
Evaluation of deep learning models for multi-step ahead time series prediction Rohitash Chandra Shaurya Goyal Rishabh Gupta AI4TS 30 147 0 26 Mar 2021
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown A. Tiwari Rishabh Gupta Rohitash Chandra 29 31 0 21 Feb 2021
Non-Reversible Parallel Tempering: a Scalable Highly Parallel MCMC Scheme Saifuddin Syed Alexandre Bouchard-Côté George Deligiannidis Arnaud Doucet 34 70 0 08 May 2019
Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands Rohitash Chandra Danial Azam R. Müller T. Salles Sally Cripps 19 20 0 02 May 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015