Year  Title  Author 
2017

Deep Bayesian Matrix Factorization 
SP Chatzis

2017

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? 
A Kendall, Y Gal

2017

Bayesian GAN 
Y Saatchi, AG Wilson

2017

Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI SuperResolution 
R Tanno, DE Worrall, A Ghosh, E Kaden

2017

Speech Enhancement Using Bayesian Wavenet 
K Qian, Y Zhang, S Chang, X Yang, D Florêncio

2017

Bayesian Compression for Deep Learning 
C Louizos, K Ullrich, M Welling

2017

Deep Learning: A Bayesian Perspective 
N Polson, V Sokolov

2017

Information Pursuit: A Bayesian Framework for Sequential Scene Parsing 
E Jahangiri, E Yoruk, R Vidal, L Younes, D Geman

2017

On Converting SumProduct Networks into Bayesian Networks 
AE dos Santos, CJ Butz, JS Oliveira

2017

Distributed Bayesian Learning with Stochastic Naturalgradient Expectation Propagation 
L Hasenclever, S Webb, T Lienart, S Vollmer

2017

SAR image target recognition via deep Bayesian generative network 
D Guo, B Chen

2017

Efficient variational Bayesian neural network ensembles for outlier detection 
N Pawlowski, M Jaques, B Glocker

2017

Bayesian Conditional Generative Adverserial Networks 
ME Abbasnejad, Q Shi, I Abbasnejad, A Hengel, A Dick

2017

The fillingin function of the Bayesian AutoEncoder Network 
K Nishino, M Inaba

2017

A GoalDirected Bayesian Framework for Categorization 
F Rigoli, G Pezzulo, R Dolan, K Friston

2017

DeepGait: A Learning Deep Convolutional Representation for ViewInvariant Gait Recognition Using Joint Bayesian 
C Li, X Min, S Sun, W Lin, Z Tang

2017

Predictive complex event processing based on evolving Bayesian networks 
Y Wang, H Gao, G Chen

2016

Bayesian Representation Learning With Oracle Constraints 
T Karaletsos, S Belongie, C Tech, G Rätsch

2016

Crossmodality Face Recognition via Heterogeneous Joint Bayesian 
H Shi, X Wang, D Yi, Z Lei, X Zhu, SZ Li

2016

Distributed Bayesian Learning with Stochastic Naturalgradient Expectation Propagation and the Posterior Server 
YW Teh, L Hasenclever, T Lienart, S Vollmer, S Webb

2016

Towards Bayesian Deep Learning: A Framework and Some Existing Methods 
H Wang, DY Yeung

2016

Reducing Drift in Visual Odometry by Inferring Sun Direction using a Bayesian Convolutional Neural Network 
V Peretroukhin, L Clement, J Kelly

2016

An Efficient Bayesian Approach to Exploit the Context of ObjectAction Interaction for Object Recognition 
S Yoon, H Park, J Yi

2016

Towards Bayesian Deep Learning: A Survey 
H Wang, DY Yeung

2016

Markov Chain Monte Carlo for Bayesian InferenceThe Metropolis Algorithm 
M Halls

2016

Simulation of Bayesian Learning and Inference on Distributed Stochastic Spiking Neural Networks 
K Ahmed, A Shrestha, Q Qiu

2016

Proposing the Deep Dynamic Bayesian Network as a Future Computer Based Medical System 
CM Carbery, AH Marshall, R Woods

2016

Improving PILCO with Bayesian Neural Network Dynamics Models 
Y Gal, RT McAllister, CE Rasmussen

2015

Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network 
B Jiang, T Wu, C Zheng, WH Wong

2015

Towards Building Deep Networks with Bayesian Factor Graphs 
A Buonanno, FAN Palmieri

2015

Variational Bayesian PHD Filter with Deep Learning Network Updating for Multiple Human Tracking 
P Feng, W Wang, SM Naqvi, J Chambers

2015

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction 
Y Zhang, K Sohn, R Villegas, G Pan, H Lee

2015

Bayesian Speech and Language Processing 
S Watanabe, JT Chien

2015

Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference 
Y Gal, Z Ghahramani

2015

Dropout as a Bayesian Approximation: Appendix 
Y Gal, Z Ghahramani

2015

Learning to Select PreTrained Deep Representations with Bayesian Evidence Framework 
YD Kim, T Jang, B Han, S Choi

2015

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning 
Y Gal, Z Ghahramani

2015

Prediction, Bayesian inference and feedback in speech recognition 
D Norris, JM McQueen, A Cutler

2015

HighOrder Stochastic Gradient Thermostats for Bayesian Learning of Deep Models 
C Li, C Chen, K Fan, L Carin

2015

Scalable Bayesian Optimization Using Deep Neural Networks 
J Snoek, O Rippel, K Swersky, R Kiros, N Satish

2015

Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem 
T Hamelryck, W Boomsma, J Ferkinghoff

2015

MultiSource Bayesian Embeddings for Learning Social Knowledge Graphs 
Z Yang, J Tang

2015

Interactions Between Gaussian Processes and Bayesian Estimation 
YL Wang

2015

A Bayesian Approach to Identify Photos Likely to Be More Popular in Social Media 
A Choudhury, S Nagaswamy

2015

When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints 
T Karaletsos, S Belongie, G Rätsch

2015

Latent Regression Bayesian Network for Data Representation 
S Nie, Q Ji

2015

Dropout as a Bayesian approximation: Insights and applications 
Y Gal, Z Ghahramani

2015

Network Plasticity as Bayesian Inference 
D Kappel, S Habenschuss, R Legenstein, W Maass

2015

Bayesian dark knowledge 
AK Balan, V Rathod, KP Murphy, M Welling

2015

Feature Extraction Based on Generating Bayesian Network 
K Nishino, M Inaba

2015

Bayesian SegNet: Model Uncertainty in Deep Convolutional EncoderDecoder Architectures for Scene Understanding 
A Kendall, V Badrinarayanan, R Cipolla

2015

Bayesian Sensing Hidden Markov Model for Hand Gesture Recognition 
A Hernawan, YS Lee, A Santoso, CY Wang, JC Wang

2014

A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis 
S Chatzis

2014

Nonparametric Bayesian Learning with Deep Learning Structure and Its Applications in Wireless Networks 
E Pan, Z Han

2014

Bayesian Inference with Big Data: A Snapshot from a Workshop 
M Welling, YW Teh, C Andrieu, J Kominiarczuk

2014

Bayesian Deep Deconvolutional Learning 
Y Pu, X Yuan, L Carin
