Julien Cornebise
Julien Cornebise
Director of Research, Element AI
Verified email at elementai.com - Homepage
TitleCited byYear
Weight uncertainty in neural networks
C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra
arXiv preprint arXiv:1505.05424, 2015
4752015
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
1292018
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
702008
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
S Filippi, C Barnes, J Cornebise, MPH Stumpf
632011
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
252016
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
192013
Adaptive Sequential Monte Carlo Methods
J Cornebise
University Pierre of Marie Curie, Paris, 45-76, 2009
152009
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
122016
Adaptive sequential Monte Carlo by means of mixture of experts
J Cornebise, E Moulines, J Olsson
Statistics and Computing 24 (3), 317-337, 2014
92014
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
52011
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
42005
Some discussions of D. Fearnhead and D. Prangle's Read Paper" Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"
C Andrieu, S Barthelmé, N Chopin, J Cornebise, A Doucet, M Girolami, ...
arXiv preprint arXiv:1201.1314, 2012
32012
Some discussions of D. Fearnhead and D. Prangle's Read Paper" Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"
C Andrieu, S Barthelmé, N Chopin, J Cornebise, A Doucet, M Girolami, ...
arXiv preprint arXiv:1201.1314, 2012
32012
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
Buffers for electrophoresis and use thereof
KJ Hacker, KO Voss
US Patent 7,282,128, 2007
32007
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
International Symposium on Applied Stochastic Models and Data Analysis, 828-838, 2005
32005
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
Comments on" Particle Markov Chain Monte Carlo" by C. Andrieu, A. Doucet and R. Hollenstein
J Cornebise, GW Peters
arXiv preprint arXiv:0911.3866, 2009
22009
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