2025

Journal articles

Matthieu Jonckheere, Manuel Sáenz. Exact asymptotic characterisation of running time for approximate gradient descent on random graphs. Stochastic Analysis and Applications, 2025, 43 (1), pp.94-111. ⟨10.1080/07362994.2024.2434234⟩. ⟨hal-03799715⟩

Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda. Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions. Journal of Machine Learning Research, In press. ⟨hal-04329790v2⟩

Matthieu Jonckheere, Chiara Mignacco, Gilles Stoltz. Policy Optimization via Adv2: Adversarial Learning on Advantage Functions. Transactions on Machine Learning Research Journal, 2025, https://openreview.net/forum?id=Oyueig10Ed. ⟨hal-04256705v2⟩

Daniel Mastropietro, Urtzi Ayesta, Matthieu Jonckheere, Szymon Majewski. Fast-exploring reinforcement learning with applications to stochastic networks. Queueing Systems, In press, 109 (3), pp.23. ⟨10.1007/s11134-025-09950-5⟩. ⟨hal-04129885⟩

Nahuel Soprano-Loto, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Verloop. Decision-Epochs Matter: Unveiling Its Impact on the Stability of Scheduling With Randomly Varying Connectivity. IEEE Transactions on Networking, In press, pp.1 - 16. ⟨10.1109/TON.2025.3585661⟩. ⟨hal-05196230⟩

Conference papers

Abdelkrim Alahyane, Céline Comte, Matthieu Jonckheere, Éric Moulines. Optimizing Asynchronous Federated Learning: A Delicate Trade-Off Between Model-Parameter Staleness and Update Frequency. European conference on Artificial Intelligence (ECAI), 2025, Bologna, Italy. ⟨hal-04938472v2⟩

Preprints, Working Papers, ...

Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere. FEMDA: A unified framework for discriminant analysis. 2025. ⟨hal-04972418⟩

2024

Journal articles

Frédéric Chazal, Laure Ferraris, Pablo Groisman, Matthieu Jonckheere, Frédéric Pascal, et al.. Choosing the parameter of the Fermat distance: navigating geometry and noise. Transactions on Machine Learning Research Journal, 2024, pp.2835-8856. ⟨10.48550/arXiv.2311.18663⟩. ⟨hal-04317396⟩

Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal. A Flexible EM-like Clustering Algorithm for Noisy Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 46 (5), pp.2709 - 2721. ⟨10.1109/TPAMI.2023.3337195⟩. ⟨hal-04366787⟩

Leandro Carreira, Lea Pillemont, Yasser Sami, Nicolas Richard, Alain Estève, et al.. Targeted nano-energetic material exploration through active learning algorithm implementation. Energetic Materials Frontiers, 2024, 6 (1), pp.3-13. ⟨10.1016/j.enmf.2024.08.004⟩. ⟨hal-04937289⟩

Conference papers

Daniel Mastropietro, Urtzi Ayesta, Matthieu Jonckheere. Sample-efficient reinforcement learning for environments with rare high-reward states. 17th European Workshop on Reinforcement Learning, Oct 2024, Toulouse, France. ⟨hal-04917977⟩

Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines. Queuing dynamics of asynchronous Federated Learning. AISTAT, PMLR, May 2024, Valencia (Espagne), Spain. ⟨hal-04743850⟩

Reports

Raphael Sala, Yasser Sami, Matthieu Jonckheere, Alain Estève, Carole Rossi. Adaptive sampling methodologies to guide the design of reactive materials towards user defined region of interest. 2024. ⟨hal-04694821⟩

2023

Journal articles

Nahuel Soprano-Loto, Matthieu Jonckheere, Pascal Moyal. Online matching for the multiclass stochastic block model. Journal of Applied Probability, 2023, pp.1-22. ⟨10.48550/arXiv.2303.15374⟩. ⟨hal-04149842⟩

Matthieu Jonckheere, Pascal Moyal, Claudia Ramírez, Nahuel Soprano-Loto. Generalized max-weight policies in stochastic matching. Stochastic Systems, 2023, 13 (1), pp.40-58. ⟨10.1287/stsy.2022.0098⟩. ⟨hal-03354805⟩

Bermolen Paola, Goicoechea Valeria, Matthieu Jonckheere. Large deviations for the greedy exploration process on configuration models. Electronic Communications in Probability, 2023, 28, pp.1-14. ⟨10.1214/23-ECP541⟩. ⟨hal-04253334⟩

Maximiliano Altamirano, Roberto Cortez, Matthieu Jonckheere, Lasse Leskelä. Persistence in a large network of locally interacting neurons. Journal of Mathematical Biology, 2023, 86 (1), pp.16. ⟨10.1007/s00285-022-01844-x⟩. ⟨hal-03799712⟩

Conference papers

Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal. FEMDA: Une méthode de classification robuste et flexible. GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-04254165⟩

Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal, Esa Ollila. Algorithme EM régularisé. GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04254186⟩

2022

Journal articles

Agustín Somacal, Yamila Barrera, Leonardo Boechi, Matthieu Jonckheere, Vincent Lefieux, et al.. Uncovering differential equations from data with hidden variables. Physical Review E , 2022, 105 (5), pp.054209. ⟨10.1103/physreve.105.054209⟩. ⟨hal-03945967⟩

Paola Bermolen, Valeria Goicoechea, Matthieu Jonckheere, Ernesto Mordecki. Large Deviation Principle for the Greedy Exploration Algorithm over Erdös-Rényi Graphs. ALEA : Latin American Journal of Probability and Mathematical Statistics, 2022, 19 (1), pp.439-456. ⟨10.30757/ALEA.v19-16⟩. ⟨hal-03625698⟩

Matthieu Jonckheere. From Erlang formula to robust control. Queueing Systems, 2022, 100 (3-4), pp.457-459. ⟨10.1007/s11134-022-09757-8⟩. ⟨hal-03799700⟩

Pablo Groisman, Matthieu Jonckheere, Facundo Sapienza. Nonhomogeneous Euclidean first-passage percolation and distance learning. Bernoulli, 2022, 28 (1), pp.255-276. ⟨10.3150/21-BEJ1341⟩. ⟨hal-03625693⟩

Conference papers

Pierre Houdouin, Matthieu Jonckheere, Frédéric Pascal. FEMDA : une méthode de classification robuste et flexible. GRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2022, Nancy, France. ⟨hal-04288999⟩

Pierre Houdouin, Andrew Wang, M Jonckheere, Frédéric Pascal. Robust classification with flexible discriminant analysis in heterogeneous data. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747576⟩. ⟨hal-03620144⟩

Daniel Mastropietro, Szymon Majewski, Urtzi Ayesta, Matthieu Jonckheere. Boosting reinforcement learning with sparse and rare rewards using Fleming-Viot particle systems. 15th European Workshop on Reinforcement Learning (EWRL 2022), Sep 2022, Milano, Italy. ⟨hal-03772025⟩

Reports

Yasser Sami, Elliott Pollice, Emilian Tichtchenko, Matthieu Jonckheere, Nicolas Richard, et al.. Exploration des techniques d'intelligence artificielle pour calibrer les modèles physiques. LAAS - CNRS. 2022. ⟨hal-03908969⟩

Preprints, Working Papers, ...

Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos. Clustering for directed graphs using parametrized random walk diffusion kernels. 2023. ⟨hal-04148608⟩

Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos. Generalized Spectral Clustering for Directed and Undirected Graphs. 2022. ⟨hal-03799706⟩

2021

Journal articles

Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Maaike Verloop. On the stability of redundancy models. Operations Research, 2021, 69 (5), pp.1540-1565. ⟨10.1287/opre.2020.2030⟩. ⟨hal-02974771⟩

Emanuel Javier Ferreyra, Matthieu Jonckheere, Juan Pablo Pinasco. SIR Dynamics with Vaccination in a Large Configuration Model. Applied Mathematics and Optimization, 2021, 84 (S2), pp.1769-1818. ⟨10.1007/s00245-021-09810-7⟩. ⟨hal-03621788⟩

Matthieu Jonckheere, Manuel Sáenz. Asymptotic optimality of degree-greedy discovering of independent sets in Configuration Model graphs. Stochastic Processes and their Applications, 2021, 131, pp.122-150. ⟨10.1016/j.spa.2020.09.009⟩. ⟨hal-03621795⟩

Yamila Barrera, Leonardo Boechi, Matthieu Jonckheere, Vincent Lefieux, Dominique Picard, et al.. Clustering high dimensional meteorological scenarios: Results and performance index. International Journal of Approximate Reasoning, 2021, 139, pp.1-11. ⟨10.1016/j.ijar.2021.08.007⟩. ⟨hal-03625696⟩

Book sections

Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Maaike Verloop. A Survey of Stability Results for Redundancy Systems. Alexey Piunovskiy; Yi Zhang. Modern Trends in Controlled Stochastic Processes : Theory and Applications, Volume III, 41, Springer, pp.266-283, 2021, Emergence, Complexity and Computation (ECC), 978-3-030-76927-7. ⟨10.1007/978-3-030-76928-4_13⟩. ⟨hal-03168397⟩

Conference papers

Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere, Frédéric Pascal. On Change Detection for Polsar Image Time Series: A New Clustering Approach. 2021 IEEE Statistical Signal Processing Workshop (SSP), Jul 2021, Rio de Janeiro, Brazil. pp.56-60, ⟨10.1109/SSP49050.2021.9513856⟩. ⟨hal-03436869⟩

Violeta Roizman, Matthieu Jonckheere, Frédéric Pascal. Robust clustering and outlier rejection using the Mahalanobis distance distribution. 28th European Signal Processing Conference (EUSIPCO 2020), Jan 2021, Amsterdam, Netherlands. pp.2448-2452, ⟨10.23919/Eusipco47968.2020.9287356⟩. ⟨hal-03436669⟩

2020

Journal articles

Pablo Groisman, Matthieu Jonckheere, Julián Martínez. F-KPP Scaling limit and selection principle for a Brunet-Derrida type particle system. ALEA : Latin American Journal of Probability and Mathematical Statistics, 2020, 17 (1), pp.589. ⟨10.30757/ALEA.v17-23⟩. ⟨hal-03625700⟩

Matthieu Jonckheere, Santiago Saglietti. On laws of large numbers in $L^{2}$ for supercritical branching Markov processes beyond $\lambda $-positivity. Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2020, 56 (1), ⟨10.1214/19-AIHP961⟩. ⟨hal-03625711⟩

James Cruise, Matthieu Jonckheere, Seva Shneer. Stability of JSQ in queues with general server-job class compatibilities. Queueing Systems, 2020, 95 (3-4), pp.271-279. ⟨10.1007/s11134-020-09656-w⟩. ⟨hal-03625703⟩

Elene Anton, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Maaike Verloop. Improving the performance of heterogeneous data centers through redundancy. Proceedings of the ACM on Measurement and Analysis of Computing Systems , 2020, 4 (3), pp.1-29. ⟨10.1145/3428333⟩. ⟨hal-02491393v2⟩

2017

Journal articles

Paola Bermolen, Matthieu Jonckheere, Pascal Moyal. The jamming constant of uniform random graphs. Stochastic Processes and their Applications, 2017, 127 (7), pp.2138-2178. ⟨10.1016/j.spa.2016.10.005⟩. ⟨hal-03294727⟩

2016

Journal articles

Paola Bermolen, Matthieu Jonckheere, Federico Larroca, Pascal Moyal. Estimating the Transmission Probability in Wireless Networks with Configuration Models. ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2016, 1 (2), pp.1-23. ⟨10.1145/2858795⟩. ⟨hal-03294720⟩

Conference papers

Matthieu Jonckheere, Balakrishna Prabhu. Asymptotics of Insensitive Load Balancing and Blocking Phases. ACM SIGMETRICS / IFIP Performance 2016, Jun 2016, Antibes, France. ⟨hal-01299605⟩