INMA
Avenue Georges Lemaître 4-6/L4.05.01
1348 Louvain-la-Neuve
- Accueil
- Répertoire
- François Glineur
François Glineur
Professeur ordinaire
Pour des informations plus détaillées sur mes publications, merci de visiter ma home page personnelle.
- Diplômes
Année Label Institution 1997 Ingénieur civil en Informatique et Gestion Faculté Polytechnique de Mons 1997 Ingénieur de l'école supérieure d'électricité Ecole supérieure d'électricité 1998 Diplôme d'études approfondies interuniversitaire en Mathématique Faculté Polytechnique de Mons 2001 Docteur en sciences appliquées Faculté Polytechnique de Mons
Convex optimization
- algorithms (first-order methods and interior-point methods),
- modelling (approximations, extended formulations) and duality,
- applications of optimization in general.
Nonnegative matrix factorization
- algorithms and complexity,
- nonnegative rank and applications,
- numerical linear algebra in general.
2021
Dewez, Julien ; Gillis, Nicolas ; Glineur, François. A geometric lower bound on the extension complexity of polytopes based on the f-vector. In: Discrete Applied Mathematics, (2021). doi:10.1016/j.dam.2020.09.028 (Accepté/Sous presse).
2020
Hautecoeur, Cécile ; Glineur, François. Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. In: Neurocomputing, Vol. 416, p. 256–265 (2020). doi:10.1016/j.neucom.2019.11.109.
2020
De Klerk, Etienne ; Glineur, François ; Taylor, Adrien B.. Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. In: SIAM Journal on Optimization, Vol. 30, no.3, p. 2053-2082 (2020). doi:10.1137/19m1281368.
2019
Necoara, I. ; Patrascu, A. ; Glineur, François. Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. In: Optimization Methods and Software, Vol. 34, no. 2, p. 305-335 (2019). doi:10.1080/10556788.2017.1380642.
2019
Necoara, Ion ; Nesterov, Yurii ; Glineur, François. Linear convergence of first order methods for non-strongly convex optimization. In: Mathematical Programming, Vol. 175, p. 69-107 (2019). doi:10.1007/s10107-018-1232-1.
2019
Martin, Benoît ; Feron, Baptiste ; De Jaeger, Emmanuel ; Glineur, François ; Monti, Antonello. Peak shaving: a planning alternative to reduce investment costs in distribution systems?. In: Energy Systems, Vol. 10, p. 871-887 (2019). doi:10.1007/s12667-018-0299-3.
2018
Vandaele, Arnaud ; Glineur, François ; Gillis, Nicolas. Algorithms for positive semidefinite factorization. In: Computational Optimization and Applications, Vol. 71, no.1, p. 193-219 (2018). doi:10.1007/s10589-018-9998-x.
2018
Bui Van Ha, undefined ; Hamaide, Valentin ; Craeye, Christophe ; Glineur, François ; de Lera Acedo, Eloy. Direct Deterministic Nulling Techniques for Large Random Arrays Including Mutual Coupling. In: IEEE Transactions on Antennas and Propagation, Vol. 66, no.11, p. 5869-5878 (2018). doi:10.1109/tap.2018.2869068.
2018
Taylor, Adrien B. ; Hendrickx, Julien ; Glineur, François. Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization. In: Journal of Optimization Theory and Applications, Vol. 178, p. 455-476 (2018). doi:10.1007/s10957-018-1298-1.
2018
Davis-Stober, Clintin P. ; Doignon, Jean-Paul ; Fiorini, Samuel ; Glineur, François ; Regenwetter, Michel. Extended formulations for order polytopes through network flows. In: Journal of Mathematical Psychology, Vol. 87, p. 1-10 (2018). doi:10.1016/j.jmp.2018.08.003.
2017
Taylor, Adrien ; Hendrickx, Julien ; Glineur, François. Exact Worst-case Performance of First-order Methods for Composite Convex Optimization. In: SIAM Journal on Optimization, Vol. 27, no. 3, p. 1283-1313 (2017). doi:10.1137/16M108104X.
2017
Gillis, Nicolas ; Glineur, François ; Vandaele, Arnaud. On the Linear Extension Complexity of Regular n-gons. In: Linear Algebra and Its Applications, Vol. 521 (2017), p. 217-239 (2017). doi:10.1016/j.laa.2016.12.023.
2017
Necoara, Ion ; Nesterov, Yurii ; Glineur, François. Random block coordinate descent methods for linearly constrained optimization over networks. In: Journal of Optimization Theory and Applications, Vol. 173, no. 1, p. 227-254 (2017). doi:10.1007/s10957-016-1058-z.
2017
Taylor, Adrien ; Hendrickx, Julien ; Glineur, François. Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods. In: Mathematical Programming, Vol. 161, no. 1, p. 307–345 (2017). doi:10.1007/s10107-016-1009-3.
2016
Wang, Xuansheng ; Glineur, François ; Lu, Linzhang ; Van Dooren, Paul. Extended Lanczos Bidiagonalization Algorithm for Low Rank Approximation and its Applications. In: Journal of Computational and Applied Mathematics, no. 301, p. 213-229 (2016). doi:10.1016/j.cam.2015.12.039.
2016
Vandaele, Arnaud ; Gillis, Nicolas ; Glineur, François ; Tuyttens, Daniel. Heuristics for exact nonnegative matrix factorization. In: Journal of Global Optimization, Vol. 65, no. 2, p. 369-400 (June 2016). doi:10.1007/s10898-015-0350-z.
2016
de Klerk, Etienne ; Glineur, François ; Taylor, Adrien. On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. In: Optimization Letters, Vol. 11, no. 7, p. 1185-1199 (2017). doi:10.1007/s11590-016-1087-4.
2016
Martin, Benoît ; De Jaeger, Emmanuel ; Glineur, François ; Latiers, Arnaud. A dynamic programming approach to multi-period planning of isolated microgrids. In: V. Bertsch, W. Fichtner, V. Heuveline, T. Leibfried, Advances in Energy System Optimization (Proceedings of the first International Symposium on Energy System Optimization), Springer, 2016, p. 123-137. 978-3-319-51794-0. doi:10.1007/978-3-319-51795-7_8.
2020
Hautecoeur, Cécile ; Glineur, François. Image completion via nonnegative matrix factorization using HALS and B-splines. ESANN 2020,28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (Bruges, Belgium, du 02/10/2020 au 04/10/2020). In: ESANN2020, 28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, 2020. 978-2-87587-073-5.
2020
Dewez, Julien ; Glineur, François. Lower bounds on the nonnegative rank using a nested polytopes formulation. ESANN 2020,28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning (Bruges, Belgium, du 02/10/2020 au 04/10/2020). In: ESANN2020, 28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, 2020. 978-2-87587-073-5.
2019
Hautecoeur, Cécile ; Glineur, François. Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections. 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP) (Pittsburgh, PA, USA, du 13/10/2019 au 16/10/2019). In: 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2019. 9781728108247, p. 1-6. doi:10.1109/mlsp.2019.8918844.
2019
Van Hoorebeeck, Loïc ; Cavillot, Jean ; Bui Van Ha ; Glineur, François ; Craeye, Christophe. Near-field calibration of SKA-Low stations using unmanned aerial vehicles. 13th European Conference on Antennas and Propagation (EuCAP 2019) (Krakow, Poland, du 31/03/2019 au 05/04/2019). In: Proceedings of the 13th European Conference on Antennas and Propagation (EuCAP 2019), IEEE, 2019, p. 5 pages.
2019
Hautecoeur, Cécile ; Glineur, François. Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (Bruges (Belgium), du 24/04/2019 au 26/04/2019). In: ESANN2019, 27th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, 2019. 978-287-587-065-0, p. 125-130.
2019
Hamaide, Valentin ; Glineur, François. Predictive maintenance of a rotating condenser inside a synchrocyclotron. the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) (Brussels, Belgium, du 06/11/2019 au 08/11/2019). In: CEUR Workshop Proceedings, Vol. 2491, p. 1-12 (2019).
2018
Martin, Benoît ; Glineur, François ; De Rua, Philippe ; De Jaeger, Emmanuel. Loss reduction in a windfarm participating in primary voltage control using an extension of the Convex DistFlow OPF. 20th Power Systems Computation Conference (PSCC) (Dublin, du 11/06/2018 au 15/06/2018). In: Proceedings of the 20th Power Systems Computation Conference, IEEE, 2018. 978-1-910963-10-4. doi:10.23919/PSCC.2018.8442758.
2017
Martin, Benoît ; De Jaeger, Emmanuel ; Glineur, François. A comparison of convex formulations for the joint planning of microgrids. 24th International Conference & Exhibition on Electricity Distribution (CIRED) (Glasgow, du 12/06/2017 au 15/06/2017). In: CIRED, Open Access Proc. J, Vol. 2017, p. 2174–2178. doi:10.1049/oap-cired.2017.0841.
2017
Martin, Benoît ; Glineur, François ; De Jaeger, Emmanuel. A robust convex optimization framework for autonomous network planning under load uncertainty. IEEE Powertech 2017 (Manchester, du 18/06/2017 au 22/06/2017). In: Proceedings of 2017 IEEE Manchester PowerTech, Vol. 2017, p. 1-6. doi:10.1109/PTC.2017.7981053.
2017
Taylor, Adrien ; Hendrickx, Julien ; Glineur, François. Performance Estimation Toolbox (PESTO): automated worst-case analysis of first-order optimization methods. Proceedings of the 56th IEEE Conference on Decision and Control (CDC 2017) (Melbourne (Australia), du 12/12/2017 au 15/12/2017). In: Proceedings of the 56th IEEE Conference on Decision and Control (CDC 2017), 2017, p. 1278-1283. doi:10.1109/CDC.2017.8263832.
2016
Martin, Benoît ; De Jaeger, Emmanuel ; Glineur, François ; Latiers, Arnaud. A dynamic programming approach to multi-period planning of isolated microgrids. International Symposium on Energy System Optimization ISESO 2015 (Heidelberg, Germany, du 09/11/2015 au 10/11/2015). In: Proceedings of ISESO International Symposium on Energy System Optimization, 2016.
2016
Latiers, Arnaud ; Glineur, François ; De Jaeger, Emmanuel ; Martin, Benoît. On Decentralized Control of Small Loads and Energy Rebound within Primary Frequency Control. PSCC 2016 (Genoa,Italy, 20-24 June 2016). In: Proceedings of the 19th Power Systems Computation Conference, 2016. doi:10.1109/PSCC.2016.7540884.