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1706.08495
Cited By

Uncertainty Decomposition in Bayesian Neural Networks with Latent
Variables

v1v2 (latest)

Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables

26 June 2017

José Miguel Hernández-Lobato

Finale Doshi-Velez

ArXiv (abs)PDF HTML

Papers citing "Uncertainty Decomposition in Bayesian Neural Networks with Latent Variables"

17 / 17 papers shown

HopCast: Calibration of Autoregressive Dynamics Models

HopCast: Calibration of Autoregressive Dynamics Models

Muhammad Bilal Shahid

Cody H. Fleming

462

1

0

27 Jan 2025

Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in
Transonic Aerodynamic Loads

Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads

Gabriele Immordino

145

1

0

08 Jul 2024

Uncertainty Quantification for In-Context Learning of Large Language
Models

Uncertainty Quantification for In-Context Learning of Large Language Models

...

Katsushi Matsuda

266

33

0

15 Feb 2024

RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in
Dynamic Environments via Language-Based Feedback

RE-MOVE: An Adaptive Policy Design for Robotic Navigation Tasks in Dynamic Environments via Language-Based Feedback

Souradip Chakraborty

Mohamed Bashir Elnoor

Priya Narayanan

Amrit Singh Bedi

171

4

0

14 Mar 2023

Selective classification using a robust meta-learning approach

Selective classification using a robust meta-learning approach

Karthikeyan Shanmugam

253

3

0

12 Dec 2022

Diverse, Global and Amortised Counterfactual Explanations for
Uncertainty Estimates

Diverse, Global and Amortised Counterfactual Explanations for Uncertainty EstimatesAAAI Conference on Artificial Intelligence (AAAI), 2021

452

25

0

05 Dec 2021

An Offline Risk-aware Policy Selection Method for Bayesian Markov
Decision Processes

An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes

Giorgio Angelotti

Nicolas Drougard

Caroline Ponzoni Carvalho Chanel

152

0

0

27 May 2021

Scalable Bayesian neural networks by layer-wise input augmentation

Scalable Bayesian neural networks by layer-wise input augmentation

Markus Heinonen

183

3

0

26 Oct 2020

Stochastic Bayesian Neural Networks

156

1

0

12 Aug 2020

Active Imitation Learning from Multiple Non-Deterministic Teachers:
Formulation, Challenges, and Algorithms

Active Imitation Learning from Multiple Non-Deterministic Teachers: Formulation, Challenges, and Algorithms

144

4

0

14 Jun 2020

Accurate Uncertainty Estimation and Decomposition in Ensemble Learning

Accurate Uncertainty Estimation and Decomposition in Ensemble LearningNeural Information Processing Systems (NeurIPS), 2019

M. Kioumourtzoglou

225

93

0

11 Nov 2019

Functional Variational Bayesian Neural Networks

Functional Variational Bayesian Neural Networks

Roger C. Grosse

255

257

0

14 Mar 2019

Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse
issue in Monte Carlo dropout via Ensembles

Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles

115

44

0

09 Nov 2018

Noise Contrastive Priors for Functional Uncertainty

Noise Contrastive Priors for Functional Uncertainty

Timothy Lillicrap

285

77

0

24 Jul 2018

Efficient exploration with Double Uncertain Value Networks

Efficient exploration with Double Uncertain Value Networks

Thomas M. Moerland

Catholijn M. Jonker

137

46

0

29 Nov 2017

A Benchmark Environment Motivated by Industrial Control Problems

A Benchmark Environment Motivated by Industrial Control Problems

180

64

0

27 Sep 2017

Robust and Efficient Transfer Learning with Hidden-Parameter Markov
Decision Processes

Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes

Taylor W. Killian

George Konidaris

Finale Doshi-Velez

283

109

0

20 Jun 2017