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Artem Artemev
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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
942020
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
42*2020
Scalable Thompson sampling using sparse Gaussian process models
S Vakili, H Moss, A Artemev, V Dutordoir, V Picheny
Advances in neural information processing systems 34, 5631-5643, 2021
362021
Doubly Sparse Variational Gaussian Processes
V Adam, S Eleftheriadis, N Durrande, A Artemev, J Hensman
The 23rd International Conference on Artificial Intelligence and Statistics, 2020
252020
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
242021
Tighter bounds on the log marginal likelihood of Gaussian process regression using conjugate gradients
A Artemev, DR Burt, M van der Wilk
International Conference on Machine Learning, 362-372, 2021
162021
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ...
arXiv preprint arXiv:2302.08436, 2023
72023
Variational Gaussian Process Models without Matrix Inverses
M van der Wilk, ST John, A Artemev, J Hensman
2nd Symposium on Advances in Approximate Bayesian Inference, 2019
72019
Uri Granta, Hrvoje Stojic, Ivo Couckuyt, Jixiang Qing, Nasrulloh Loka, Andrei Paleyes, Sebastian W
J Berkeley, HB Moss, A Artemev, S Pascual-Diaz
Ober, and Victor Picheny. Trieste, 2022
62022
Ordinal bayesian optimisation
V Picheny, S Vakili, A Artemev
arXiv preprint arXiv:1912.02493, 2019
62019
Combined modelling of mRNA decay dynamics and single-molecule imaging in the Drosophila embryo uncovers a role for P-bodies in 5′ to 3′ degradation
L Forbes Beadle, JC Love, Y Shapovalova, A Artemev, M Rattray, ...
PLoS Biology 21 (1), e3001956, 2023
52023
Memory safe computations with XLA compiler
A Artemev, Y An, T Roeder, M van der Wilk
Advances in Neural Information Processing Systems 35, 18970-18982, 2022
32022
Numerically stable sparse gaussian processes via minimum separation using cover trees
A Terenin, DR Burt, A Artemev, S Flaxman, M van der Wilk, ...
Journal of Machine Learning Research 25, 1-36, 2024
22024
Modelling global mRNA dynamics during Drosophila embryogenesis reveals a relationship between mRNA degradation and P-bodies
LF Beadle, JC Love, Y Shapovalova, A Artemev, M Rattray, HL Ashe
bioRxiv, 2022.03. 17.484585, 2022
22022
Improved inverse-free variational bounds for sparse Gaussian processes
M van der Wilk, A Artemev, J Hensman
Fourth Symposium on Advances in Approximate Bayesian Inference, 2022
22022
Barely biased learning for gaussian process regression
DR Burt, A Artemev, M van der Wilk
arXiv preprint arXiv:2109.09417, 2021
22021
Automatic tuning of stochastic gradient descent with bayesian optimisation
V Picheny, V Dutordoir, A Artemev, N Durrande
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
22021
Recommendations for Baselines and Benchmarking Approximate Gaussian Processes
SW Ober, A Artemev, M Wagenländer, R Grobins, M van der Wilk
arXiv preprint arXiv:2402.09849, 2024
12024
Efficient computational inference
V Adam, S Eleftheriadis, N Durrande, A Artemev, J Hensman, L Bordeaux
US Patent App. 17/753,723, 2022
12022
Computational implementation of gaussian process models
M VAN DER WILK, S John, A Artemev, J Hensman
US Patent 11,475,279, 2022
2022
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Articles 1–20