| Deep unsupervised clustering with gaussian mixture variational autoencoders N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ... arXiv preprint arXiv:1611.02648, 2016 | 273 | 2016 |
| Doubly stochastic variational inference for deep Gaussian processes H Salimbeni, M Deisenroth Advances in neural information processing systems, 4588-4599, 2017 | 194 | 2017 |
| 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 | 31 | 2018 |
| Gaussian process conditional density estimation V Dutordoir, H Salimbeni, J Hensman, M Deisenroth Advances in neural information processing systems, 2385-2395, 2018 | 23 | 2018 |
| Orthogonally decoupled variational gaussian processes H Salimbeni, CA Cheng, B Boots, M Deisenroth Advances in neural information processing systems, 8711-8720, 2018 | 18 | 2018 |
| Deep gaussian processes with importance-weighted variational inference H Salimbeni, V Dutordoir, J Hensman, MP Deisenroth arXiv preprint arXiv:1905.05435, 2019 | 17 | 2019 |
| Deeply non-stationary Gaussian processes H Salimbeni, MP Deisenroth Proc. NIPS Workshop Bayesian Deep Learn., 2017 | 5 | 2017 |
| A potential biomarker for treatment stratification in psychosis: evaluation of an [18 F] FDOPA PET imaging approach M Veronese, B Santangelo, S Jauhar, E D’Ambrosio, A Demjaha, ... Neuropsychopharmacology, 1-11, 2020 | 1 | 2020 |
| Stochastic Differential Equations with Variational Wishart Diffusions M Jørgensen, M Deisenroth, H Salimbeni International Conference on Machine Learning, 4974-4983, 2020 | | 2020 |
| Machine learning system S Eleftheriadis, J Hensman, S John, H Salimbeni US Patent App. 16/824,025, 2020 | | 2020 |
| Deep Gaussian Processes: Advances in Models and Inference H Salimbeni Imperial College London, 2019 | | 2019 |
| 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 | | |
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
