Hugh Salimbeni
Hugh Salimbeni
在 ic.ac.uk 的電子郵件地址已通過驗證 - 首頁
標題引用次數年份
Deep unsupervised clustering with gaussian mixture variational autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
1762016
Doubly stochastic variational inference for deep Gaussian processes
H Salimbeni, M Deisenroth
Advances in Neural Information Processing Systems, 4588-4599, 2017
1142017
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models
H Salimbeni, S Eleftheriadis, J Hensman
International Conference on Artificial Intelligence and Statistics, 2018
222018
Gaussian process conditional density estimation
V Dutordoir, H Salimbeni, J Hensman, M Deisenroth
Advances in neural information processing systems, 2385-2395, 2018
102018
Orthogonally decoupled variational Gaussian processes
H Salimbeni, CA Cheng, B Boots, M Deisenroth
Advances in neural information processing systems, 8711-8720, 2018
92018
Deep gaussian processes with importance-weighted variational inference
H Salimbeni, V Dutordoir, J Hensman, MP Deisenroth
arXiv preprint arXiv:1905.05435, 2019
62019
Deeply Non-Stationary Gaussian Processes
H Salimbeni, MP Deisenroth
Proc. NIPS Workshop Bayesian Deep Learn, 2017
12017
Doubly Stochastic Inference for Deep Gaussian Processes
H Salimbeni
Patch kernels for Gaussian processes in high-dimensional imaging problems
MCH Lee, H Salimbeni, MP Deisenroth, B Glocker
系統目前無法執行作業,請稍後再試。
文章 1–9