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Output-Constrained Bayesian Neural Networks

Output-Constrained Bayesian Neural Networks

15 May 2019
Wanqian Yang
Lars Lorch
Moritz Graule
Srivatsan Srinivasan
Anirudh Suresh
Jiayu Yao
Melanie F. Pradier
Finale Doshi-Velez
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Output-Constrained Bayesian Neural Networks"

5 / 5 papers shown
Title
Deep Classifiers with Label Noise Modeling and Distance Awareness
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin
Mark Collier
F. Wenzel
J. Allingham
J. Liu
Dustin Tran
Balaji Lakshminarayanan
Jesse Berent
Rodolphe Jenatton
E. Kokiopoulou
UQCV
26
11
0
06 Oct 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Incorporating Interpretable Output Constraints in Bayesian Neural
  Networks
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
Wanqian Yang
Lars Lorch
Moritz Graule
Himabindu Lakkaraju
Finale Doshi-Velez
UQCV
BDL
10
16
0
21 Oct 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
A. Wilson
Pavel Izmailov
UQCV
BDL
OOD
17
639
0
20 Feb 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1