Edouard Pauwels
Edouard Pauwels
IRIT, Université Toulouse 3 Paul Sabatier
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Predicting drug side-effect profiles: a chemical fragment-based approach
E Pauwels, V Stoven, Y Yamanishi
BMC bioinformatics 12 (1), 1-13, 2011
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
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
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
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
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
Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning
J Bolte, E Pauwels
Mathematical Programming 188 (1), 19-51, 2021
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
Sorting out typicality with the inverse moment matrix SOS polynomial
E Pauwels, JB Lasserre
Advances in neural information processing systems 29, 2016
An Inertial Newton Algorithm for Deep Learning.
C Castera, J Bolte, C Févotte, E Pauwels
J. Mach. Learn. Res. 22, 134:1-134:31, 2021
Inverse optimal control with polynomial optimization
E Pauwels, D Henrion, JB Lasserre
53rd IEEE Conference on Decision and Control, 5581-5586, 2014
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
A Bayesian active learning strategy for sequential experimental design in systems biology
E Pauwels, C Lajaunie, JP Vert
BMC Systems Biology 8 (1), 1-11, 2014
A mathematical model for automatic differentiation in machine learning
J Bolte, E Pauwels
Advances in Neural Information Processing Systems 33, 10809-10819, 2020
The empirical Christoffel function with applications in data analysis
JB Lasserre, E Pauwels
Advances in Computational Mathematics 45 (3), 1439-1468, 2019
Data analysis from empirical moments and the Christoffel function
E Pauwels, M Putinar, JB Lasserre
Foundations of Computational Mathematics 21 (1), 243-273, 2021
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
Extragradient method in optimization: convergence and complexity
TP Nguyen, E Pauwels, E Richard, BW Suter
Journal of Optimization Theory and Applications 176 (1), 137-162, 2018
The value function approach to convergence analysis in composite optimization
E Pauwels
Operations Research Letters 44 (6), 790-795, 2016
Linear conic optimization for inverse optimal control
E Pauwels, D Henrion, JB Lasserre
SIAM Journal on Control and Optimization 54 (3), 1798-1825, 2016
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