Bayesian Deep Learning for Remaining Useful Life Estimation via Stein
Variational Gradient Descent

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

2 February 2024

Luca Della Libera

Jacopo Andreoli

Davide Dalle Pezze

Mirco Ravanelli

Gian Antonio Susto

Papers citing "Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent"

15 / 15 papers shown

Title
Neural Variational Gradient Descent L. Langosco Vincent Fortuin Heiko Strathmann BDL 80 20 0 22 Jul 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 84 628 0 14 Jul 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 154 14,959 0 18 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 499 42,449 0 03 Dec 2019
Temporal Convolutional Memory Networks for Remaining Useful Life Estimation of Industrial Machinery Lahiru Jayasinghe Tharaka Samarasinghe Chau Yuen Jenny Chen Ni Low Shiping Ge 23 64 0 12 Oct 2018
Tune: A Research Platform for Distributed Model Selection and Training Richard Liaw Eric Liang Robert Nishihara Philipp Moritz Joseph E. Gonzalez Ion Stoica 209 901 0 13 Jul 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 102 1,258 0 16 Dec 2017
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks Narendhar Gugulothu T. Vishnu Pankaj Malhotra Lovekesh Vig Puneet Agarwal Gautam M. Shroff AI4TS 52 145 0 04 Sep 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 69 139 0 07 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 354 4,709 0 15 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 70 1,092 0 16 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 187 1,887 0 20 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches Kyunghyun Cho B. V. Merrienboer Dzmitry Bahdanau Yoshua Bengio AI4CE AIMat 246 6,779 0 03 Sep 2014