Year  Title  Author 
2017

Characterizing Dynamic Walking Patterns and Detecting Falls with Wearable Sensors Using Gaussian Process Methods 
T Kim, J Park, S Heo, K Sung, J Park

2017

Neural Networks retrieving Boolean patterns in a sea of Gaussian ones 
E Agliari, A Barra, C Longo, D Tantari

2017

Deep Learning with Low Precision by Halfwave Gaussian Quantization 
Z Cai, X He, J Sun, N Vasconcelos

2017

Gaussian Filter in CRF Based Semantic Segmentation 
Y Gu, Q Wu, J Li, K Cheng

2017

Doubly Stochastic Variational Inference for Deep Gaussian Processes 
H Salimbeni, M Deisenroth

2017

Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs 
K Fan

2017

Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks 
J Bradshaw, AGG Matthews, Z Ghahramani

2017

Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints 
J Chu, H Wang, H Meng, P Jin, T Li

2017

Classification of MRI data using Deep Learning and Gaussian Processbased Model Selection 
H Bertrand, M Perrot, R Ardon, I Bloch

2017

Annealing Gaussian Into Relu: A New SamPling Strategy For LeakyRelu Rbm 
CLLS Ravanbakhsh, B Póczos

2017

Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes 
T Iwata, Z Ghahramani

2017

Biasing Restricted Boltzmann Machines using Gaussian Filters to Learn Invariant Visual Features 
A Yogeswaran, P Payeur

2016

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data 
J You, X Li, M Low, D Lobell, S Ermon

2016

Inverse Reinforcement Learning via Deep Gaussian Process 
M Jin, C Spanos

2016

Annealing Gaussian into ReLU: a New Sampling Strategy for LeakyReLU RBM 
CL Li, S Ravanbakhsh, B Poczos

2016

Gaussian Neuron in Deep Belief Network for Sentiment Prediction 
Y Jin, D Du, H Zhang

2016

Large Scale Gaussian Process for Overlapbased Object Proposal Scoring 
SL Pintea, S Karaoglu, JC van Gemert

2016

Fast, Exact and MultiScale Inference for Semantic Image Segmentation with Deep Gaussian CRFs 
S Chandra, I Kokkinos

2016

The Variational Gaussian Process 
D Tran, R Ranganath, DM Blei

2016

Probabilistic Feature Learning Using Gaussian Process AutoEncoders 
S Olofsson

2016

R2C: Improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter 
J Yang, QY Jin, B Zhang, HB Shen

2016

Deep, Dense, and LowRank Gaussian Conditional Random Fields 
S Chandra, I Kokkinos

2016

Sequential Inference for Deep Gaussian Process 
Y Wang, M Brubaker, B Chaib

2016

Multitask and Multikernel Gaussian Process Dynamical Systems 
D Korkinof, Y Demiris

2016

Gaussian Copula Variational Autoencoders for Mixed Data 
S Suh, S Choi

2016

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 
K Zhang, W Zuo, Y Chen, D Meng, L Zhang

2016

Image superresolution using nonlocal Gaussian process regression 
H Wang, X Gao, K Zhang, J Li

2016

A Novel Bearing Fault Diagnosis Method based on Gaussian Restricted Boltzmann Machine 
X HE, Y LI, C ZHOU

2016

Gaussian Conditional Random Field Network for Semantic Segmentation 
R Vemulapalli, O Tuzel, MY Liu, R Chellappa

2016

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors 
C Louizos, M Welling

2016

Deep Gaussian Processes for Regression using Approximate Expectation Propagation 
TD Bui, D Hernández

2015

Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian Process Classifier 
LP Berczi, I Posner, TD Barfoot

2015

Assessing the Degree of Nativeness and Parkinson's Condition Using Gaussian Processes and Deep Rectifier Neural Networks 
T Grósz, R Busa

2015

Gaussian processes methods for nostationary regression 
L Muñoz González

2015

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? 
R Giryes, G Sapiro, AM Bronstein

2015

Nonlinear Gaussian Belief Network based fault diagnosis for industrial processes 
H Yu, F Khan, V Garaniya

2015

Interactions Between Gaussian Processes and Bayesian Estimation 
YL Wang

2015

Gaussian discrete restricted Boltzmann machine: theory and its applications: a thesis presented in partial fulfilment of the requirements for the degree of Master of … 
S Manoharan

2015

Prosody Generation Using Framebased Gaussian Process Regression 
T Koriyama, T Kobayashi

2015

MeanField Inference in Gaussian Restricted Boltzmann Machine 
C Takahashi, M Yasuda

2015

Variational Autoencoded Deep Gaussian Processes 
Z Dai, A Damianou, J González, N Lawrence

2015

Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation 
TD Bui, JM Hernández

2015

Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN 
S Jain, S Dehriya, YK Jain

2014

Nonnegative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition 
J Glass

2014

Cross Modal Deep Model and Gaussian Process Based Model for MSRBing Challenge 
J Wang, C Kang, Y He, S Xiang, C Pan

2014

Gaussian Process Models with Parallelization and GPU acceleration 
Z Dai, A Damianou, J Hensman, N Lawrence

2014

Parametric Speech Synthesis Using Local and Global Sparse Gaussian 
T Koriyama, T Nose, T Kobayashi

2014

On the Link Between Gaussian Homotopy Continuation and Convex Envelopes 
H Mobahi, JW Fisher III

2014

Improving Deep Neural Networks Using State Projection Vectors Of Subspace Gaussian Mixture Model As Features 
M Karthick, S Umesh

2014

A Theoretical Analysis of Optimization by Gaussian Continuation 
H Mobahi, JW Fisher III

2014

Factoring Variations in Natural Images with Deep Gaussian Mixture Models 
A van den Oord, B Schrauwen

2014

Feature representation with Deep Gaussian processes 
A Damianou
