Deep Learning Publication Navigator - subtopic: gaussian process


Year TitleAuthor
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   Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks  J Bradshaw, AGG Matthews, Z Ghahramani
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   Large Scale Gaussian Process for Overlap-based Object Proposal Scoring  SL Pintea, S Karaoglu, JC van Gemert
2016   The Variational Gaussian Process  D Tran, R Ranganath, DM Blei
2016   Probabilistic Feature Learning Using Gaussian Process Auto-Encoders  S Olofsson
2016   Sequential Inference for Deep Gaussian Process  Y Wang, M Brubaker, B Chaib
2016   Multi-task and Multi-kernel Gaussian Process Dynamical Systems  D Korkinof, Y Demiris
2016   Image super-resolution using non-local Gaussian process regression  H Wang, X Gao, K Zhang, J Li
2015   Learning to Assess Terrain from Human Demonstration Using an Introspective Gaussian Process Classifier  LP Berczi, I Posner, TD Barfoot
2015   Prosody Generation Using Frame-based Gaussian Process Regression  T Koriyama, T Kobayashi
2014   Cross Modal Deep Model and Gaussian Process Based Model for MSR-Bing 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