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Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
v1v2 (latest)

Bayesian Neural Networks With Maximum Mean Discrepancy Regularization

Neurocomputing (Neurocomputing), 2020
2 March 2020
Jary Pomponi
Simone Scardapane
A. Uncini
    UQCVBDL
ArXiv (abs)PDFHTML

Papers citing "Bayesian Neural Networks With Maximum Mean Discrepancy Regularization"

7 / 7 papers shown
Variational Inference for Quantum HyperNetworks
Variational Inference for Quantum HyperNetworks
Luca Nepote
Alix Lhéritier
Nicolas Bondoux
Marios Kountouris
Maurizio Filippone
MQ
308
1
0
06 Jun 2025
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and
  Traditional Machine Learning Algorithms
Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms
Peiwen Tan
BDL
273
2
0
09 Oct 2023
Learning to solve Bayesian inverse problems: An amortized variational
  inference approach using Gaussian and Flow guides
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guidesJournal of Computational Physics (JCP), 2023
Sharmila Karumuri
Ilias Bilionis
383
6
0
31 May 2023
Learning Robust Statistics for Simulation-based Inference under Model
  Misspecification
Learning Robust Statistics for Simulation-based Inference under Model MisspecificationNeural Information Processing Systems (NeurIPS), 2023
Daolang Huang
Ayush Bharti
Amauri Souza
Luigi Acerbi
Samuel Kaski
564
58
0
25 May 2023
Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble MethodsNeural Networks (NN), 2021
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
253
9
0
06 May 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
1.2K
2,461
0
12 Nov 2020
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in
  Deep Learning Algorithms
Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
J. Caldeira
Brian D. Nord
BDLUQCVUD
461
96
0
22 Apr 2020
1
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