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Edouard Pauwels
Edouard Pauwels
IRIT, Université Toulouse 3 Paul Sabatier
irit.fr의 이메일 확인됨 - 홈페이지
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Predicting drug side-effect profiles: a chemical fragment-based approach
E Pauwels, V Stoven, Y Yamanishi
BMC bioinformatics 12, 1-13, 2011
2622011
Relating drug–protein interaction network with drug side effects
S Mizutani, E Pauwels, V Stoven, S Goto, Y Yamanishi
Bioinformatics 28 (18), i522-i528, 2012
2292012
Drug side-effect prediction based on the integration of chemical and biological spaces
Y Yamanishi, E Pauwels, M Kotera
Journal of chemical information and modeling 52 (12), 3284-3292, 2012
1562012
Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
J Bolte, E Pauwels
Mathematical Programming 188, 19-51, 2021
1362021
Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers
Y Tabei, E Pauwels, V Stoven, K Takemoto, Y Yamanishi
Bioinformatics 28 (18), i487-i494, 2012
1042012
Extracting sets of chemical substructures and protein domains governing drug-target interactions
Y Yamanishi, E Pauwels, H Saigo, V Stoven
Journal of chemical information and modeling 51 (5), 1183-1194, 2011
922011
Majorization-minimization procedures and convergence of SQP methods for semi-algebraic and tame programs
J Bolte, E Pauwels
Mathematics of Operations Research 41 (2), 442-465, 2016
842016
A mathematical model for automatic differentiation in machine learning
J Bolte, E Pauwels
Advances in Neural Information Processing Systems 33, 10809-10819, 2020
812020
An inertial newton algorithm for deep learning
C Castera, J Bolte, C Févotte, E Pauwels
Journal of Machine Learning Research 22 (134), 1-31, 2021
652021
Nonsmooth implicit differentiation for machine-learning and optimization
J Bolte, T Le, E Pauwels, T Silveti-Falls
Advances in neural information processing systems 34, 13537-13549, 2021
552021
Semialgebraic optimization for lipschitz constants of relu networks
T Chen, JB Lasserre, V Magron, E Pauwels
Advances in Neural Information Processing Systems 33, 19189-19200, 2020
552020
On Fienup methods for sparse phase retrieval
EJR Pauwels, A Beck, YC Eldar, S Sabach
IEEE Transactions on Signal Processing 66 (4), 982-991, 2017
552017
Inverse optimal control with polynomial optimization
E Pauwels, D Henrion, JB Lasserre
53rd IEEE Conference on Decision and Control, 5581-5586, 2014
532014
Sorting out typicality with the inverse moment matrix SOS polynomial
E Pauwels, JB Lasserre
Advances in Neural Information Processing Systems 29, 2016
512016
The empirical Christoffel function with applications in data analysis
JB Lasserre, E Pauwels
Advances in Computational Mathematics 45, 1439-1468, 2019
462019
Semi-algebraic approximation using Christoffel–Darboux kernel
S Marx, E Pauwels, T Weisser, D Henrion, JB Lasserre
Constructive Approximation, 1-39, 2021
442021
The cyclic block conditional gradient method for convex optimization problems
A Beck, E Pauwels, S Sabach
SIAM Journal on Optimization 25 (4), 2024-2049, 2015
432015
Data analysis from empirical moments and the Christoffel function
E Pauwels, M Putinar, JB Lasserre
Foundations of Computational Mathematics 21, 243-273, 2021
392021
Numerical influence of ReLU’(0) on backpropagation
D Bertoin, J Bolte, S Gerchinovitz, E Pauwels
Advances in Neural Information Processing Systems 34, 468-479, 2021
332021
A Bayesian active learning strategy for sequential experimental design in systems biology
E Pauwels, C Lajaunie, JP Vert
BMC Systems Biology 8, 1-11, 2014
332014
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