Hugh Salimbeni

According to our database, Hugh Salimbeni authored at least 9 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

GPflux: A Library for Deep Gaussian Processes.

Vincent Dutordoir, Hugh Salimbeni, Eric Hambro, John McLeod, Felix Leibfried, Artem Artemev, Mark van der Wilk, James Hensman, Marc Peter Deisenroth, S. T. John

CoRR, 2021

2020

Deep Gaussian processes: advances in models and inference.

Hugh Salimbeni

PhD thesis, 2020

Stochastic Differential Equations with Variational Wishart Diffusions.

Martin Jørgensen, Marc Peter Deisenroth, Hugh Salimbeni

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Gaussian Processes with Importance-Weighted Variational Inference.

Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Orthogonally Decoupled Variational Gaussian Processes.

Hugh Salimbeni, Ching-An Cheng, Byron Boots, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Gaussian Process Conditional Density Estimation.

Vincent Dutordoir, Hugh Salimbeni, James Hensman, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models.

Hugh Salimbeni, Stefanos Eleftheriadis, James Hensman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Doubly Stochastic Variational Inference for Deep Gaussian Processes.

Hugh Salimbeni, Marc Peter Deisenroth

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan

CoRR, 2016