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Ellis Unit Cambridge
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Title
Cited by
Cited by
Year
Gaussian processes in machine learning
CE Rasmussen
Summer school on machine learning, 63-71, 2003
332532003
Gaussian processes for machine learning
CKI Williams, CE Rasmussen
MIT press 2 (3), 4, 2006
39602006
Proceedings of the 31st International Conference on Neural Information Processing Systems
U von Luxburg, I Guyon, S Bengio, H Wallach, R Fergus
Curran Associates Inc., 2017
3203*2017
Automatic chemical design using a data-driven continuous representation of molecules
R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ...
ACS central science 4 (2), 268-276, 2018
30922018
Gaussian approximation potentials: The accuracy of quantum mechanics, without the electrons
AP Bartók, MC Payne, R Kondor, G Csányi
Physical review letters 104 (13), 136403, 2010
24762010
Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources
TW Lee, M Girolami, TJ Sejnowski
Neural computation 11 (2), 417-441, 1999
24591999
A unifying view of sparse approximate Gaussian process regression
J Quinonero-Candela, CE Rasmussen
The Journal of Machine Learning Research 6, 1939-1959, 2005
24582005
Nice: Non-linear independent components estimation
L Dinh, D Krueger, Y Bengio
arXiv preprint arXiv:1410.8516, 2014
21912014
Dataset shift in machine learning
J Quiñonero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence
Mit Press, 2022
21652022
On representing chemical environments
AP Bartók, R Kondor, G Csányi
Physical Review B 87 (18), 184115, 2013
21602013
PILCO: A model-based and data-efficient approach to policy search
M Deisenroth, CE Rasmussen
Proceedings of the 28th International Conference on machine learning (ICML …, 2011
19062011
Riemann manifold langevin and hamiltonian monte carlo methods
M Girolami, B Calderhead
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011
18832011
A closer look at memorization in deep networks
D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ...
International conference on machine learning, 233-242, 2017
18232017
The infinite Gaussian mixture model
C Rasmussen
Advances in neural information processing systems 12, 1999
17981999
Gaussian processes for regression
C Williams, C Rasmussen
Advances in neural information processing systems 8, 1995
17881995
Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
RECOVERY Collaborative Group
Lancet (London, England) 397 (10285), 1637, 2021
1631*2021
Simlex-999: Evaluating semantic models with (genuine) similarity estimation
F Hill, R Reichart, A Korhonen
Computational Linguistics 41 (4), 665-695, 2015
15302015
Gaussian processes for big data
J Hensman, N Fusi, ND Lawrence
arXiv preprint arXiv:1309.6835, 2013
14212013
Deep gaussian processes
A Damianou, ND Lawrence
Artificial intelligence and statistics, 207-215, 2013
13722013
Probabilistic non-linear principal component analysis with Gaussian process latent variable models.
N Lawrence, A Hyvärinen
Journal of machine learning research 6 (11), 2005
13202005
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