Julien Cornebise
TitleCited byYear
Weight uncertainty in neural networks
C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra
arXiv preprint arXiv:1505.05424, 2015
7282015
Clinically applicable deep learning for diagnosis and referral in retinal disease
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
Nature medicine 24 (9), 1342, 2018
3652018
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
S Filippi, C Barnes, J Cornebise, MPH Stumpf
792011
Adaptive methods for sequential importance sampling with application to state space models
J Cornebise, É Moulines, J Olsson
Statistics and Computing 18 (4), 461-480, 2008
732008
A clinically applicable approach to continuous prediction of future acute kidney injury
N Tomašev, X Glorot, JW Rae, M Zielinski, H Askham, A Saraiva, ...
Nature 572 (7767), 116-119, 2019
442019
Automated analysis of retinal imaging using machine learning techniques for computer vision
J De Fauw, P Keane, N Tomasev, D Visentin, G van den Driessche, ...
F1000Research 5, 2016
282016
Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus
IA Korostil, GW Peters, J Cornebise, DG Regan
Statistics in medicine 32 (11), 1917-1953, 2013
212013
Adaptive Sequential Monte Carlo Methods
J Cornebise
University Pierre of Marie Curie, Paris, 45-76, 2009
162009
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans
C Chu, J De Fauw, N Tomasev, BR Paredes, C Hughes, J Ledsam, ...
F1000Research 5, 2016
152016
Adaptive sequential Monte Carlo by means of mixture of experts
J Cornebise, E Moulines, J Olsson
Statistics and Computing 24 (3), 317-337, 2014
102014
A comparative study of Monte-Carlo methods for multitarget tracking
F Septier, J Cornebise, S Godsill, Y Delignon
2011 IEEE Statistical Signal Processing Workshop (SSP), 205-208, 2011
62011
A Meteosat Second Generation receiving, processing and storing images system developed by engineer students
L Beaudoin, LA Charbardes, J Cornebise, C Dufour, K Florczak, F Gachot, ...
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium …, 2005
52005
Generalizable medical image analysis using segmentation and classification neural networks
J De Fauw, JR Ledsam, B Romera-Paredes, S Nikolov, N Tomasev, ...
US Patent 10,198,832, 2019
42019
A large-scale crowdsourced analysis of abuse against women journalists and politicians on Twitter
L Delisle, A Kalaitzis, K Majewski, A de Berker, M Marin, J Cornebise
arXiv preprint arXiv:1902.03093, 2019
32019
Méthodes de Monte Carlo séquentielles adaptatives
J Cornebise
32009
Adaptive methods for sequential importance sampling
J Cornebise, E Moulines, J Olsson
Opening Workshop of 9, 7-10, 2008
32008
Adaptive refueling in particle filter algorithms
J Cornebise, E Moulines, J Olsson
Workshop New directions in Monte Carlo Methods, Fleurance, 25-29, 2007
32007
A practical implementation of the Gibbs sampler for mixture of distributions: Application to the determination of specifications in food industry
J Cornebise, M Maumy, P Girard
32005
Signal processing systems
JRM Cornebise, DJ Rezende, DP Wierstra
US Patent 9,342,781, 2016
22016
Approximate hubel-wiesel modules and the data structures of neural computation
JZ Leibo, J Cornebise, S Gómez, D Hassabis
arXiv preprint arXiv:1512.08457, 2015
22015
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Articles 1–20