| Gaussian process conditional density estimation V Dutordoir, H Salimbeni, J Hensman, M Deisenroth Advances in Neural Information Processing Systems, NeurIPS, 2385-2395, 2018 | 27 | 2018 |
| Deep Gaussian Processes with Importance-Weighted Variational Inference H Salimbeni, V Dutordoir, J Hensman, MP Deisenroth International Conference on Machine Learning, ICML, 2019 | 20 | 2019 |
| Bayesian image classification with deep convolutional Gaussian processes V Dutordoir, M Wilk, A Artemev, J Hensman International Conference on Artificial Intelligence and Statistics, 1529-1539, 2020 | 17* | 2020 |
| A framework for interdomain and multioutput Gaussian processes M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman arXiv preprint arXiv:2003.01115, 2020 | 12 | 2020 |
| Sparse Gaussian processes with spherical harmonic features V Dutordoir, N Durrande, J Hensman International Conference on Machine Learning, 2793-2802, 2020 | 8 | 2020 |
| Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces V Dutordoir, N Knudde, J van der Herten, I Couckuyt, T Dhaene Winter Simulation Conference, 134, 2017 | 4 | 2017 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference F Leibfried, V Dutordoir, ST John, N Durrande arXiv preprint arXiv:2012.13962, 2020 | 1 | 2020 |
| Non-Stationary Surrogate Modeling with Deep Gaussian V Dutordoir | 1 | 2017 |
| GPflux: A Library for Deep Gaussian Processes V Dutordoir, H Salimbeni, E Hambro, J McLeod, F Leibfried, A Artemev, ... arXiv preprint arXiv:2104.05674, 2021 | | 2021 |
| Hierarchical Gaussian Process Models for Improved Metamodeling N Knudde, V Dutordoir, JVD Herten, I Couckuyt, T Dhaene ACM Transactions on Modeling and Computer Simulation (TOMACS) 30 (4), 1-17, 2020 | | 2020 |
| Method and system for classification of data J Hensman, M VAN DER WILK, V Dutordoir US Patent 10,733,483, 2020 | | 2020 |
| Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation V Picheny, V Dutordoir, A Artemev, N Durrande arXiv preprint arXiv:2006.14376, 2020 | | 2020 |
| Surrogate modeling with sequential design for design and analysis of electronic systems J van der Herten, V Dutordoir, I Couckuyt, T Dhaene 2017 International Conference on Electromagnetics in Advanced Applications …, 2017 | | 2017 |
| DRAFT: A Tutorial on Sparse Gaussian Processes and Variational Inference F Leibfried, V Dutordoir | | |
| Supplementary: Sparse Gaussian Processes with Spherical Harmonic Features V Dutordoir, N Durrande, J Hensman | | |
| A Framework for Interdomain and Multioutput Gaussian Processes Download PDF Open Website M van der Wilk, V Dutordoir, ST John, A Artemev, V Adam, J Hensman | | |
James HensmanPrincipal scientist, AmazonAdresse e-mail validée de amazon.com
