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Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data

Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data

Maxim Ziatdinov
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Papers citing "Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data"

4 / 4 papers shown
Title
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priors
Michael J. Kenney
Katerina G. Malollari
Sergei V. Kalinin
M. Ziatdinov
BDL
36
0
0
08 Oct 2024
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks
Spencer Young
Porter Jenkins
Lonchao Da
Jeff Dotson
Hua Wei
UQCV
BDL
49
2
0
13 Jun 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,695
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015