2026

Journal articles

Leandro Carreira, Alain Estève, M. Jonckheere, C. Rossi. Smart sampling for optimized materials: A Gaussian process framework for region-of-interest active learning. Materials Today Communications, 2026, 51, pp.114705. ⟨10.1016/j.mtcomm.2026.114705⟩. ⟨hal-05470920⟩

Conference papers

Ernesto Garcia, Daniel Mastropietro, Paola Bermolen, Matthieu Jonckheere. When to Parallelize Stochastic Exploration of Rare Rewards in Reinforcement Learning. European Signal Processing Conference, Aug 2026, Brugges, Belgium. ⟨hal-05648000⟩

Preprints, Working Papers, ...

Abdelkrim Alahyane, Céline Comte, Matthieu Jonckheere. Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach. 2026. ⟨hal-05568760⟩

Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes. Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration. 2026. ⟨hal-05633248⟩

Ernesto Garcia, Paola Bermolen, Matthieu Jonckheere, Seva Shneer. Efficiency of Parallel and Restart Exploration Strategies in Model Free Stochastic Simulations. 2026. ⟨hal-05459801⟩

2025

Journal articles

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⟩

Céline Comte, Matthieu Jonckheere, Jaron Sanders, Albert Senen-Cerda. Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability. Journal of Machine Learning Research, 2025, 26 (132), pp.1-74. ⟨hal-04329790v3⟩

Nahuel Soprano-Loto, Urtzi Ayesta, Matthieu Jonckheere, Ina Maria Maaike Verloop. Decision-Epochs Matter: Unveiling Its Impact on the Stability of Scheduling With Randomly Varying Connectivity. IEEE Transactions on Networking, 2025, 33 (6), pp.3056 - 3071. ⟨10.1109/TON.2025.3585661⟩. ⟨hal-05196230⟩

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⟩

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-04129885v2⟩

Nahuel Soprano-Loto, Matthieu Jonckheere, Pascal Moyal. Online matching for the multiclass stochastic block model. Journal of Applied Probability, 2025, 62 (4), pp.1360--1381. ⟨10.1017/jpr.2025.22⟩. ⟨hal-04149842⟩

Book sections

Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere. FEMDA: A unified framework for discriminant analysis. Elliptically Symmetric Distributions in Signal Processing and Machine Learning, Springer, pp.303-336, 2025, 978-3-031-52115-7. ⟨10.1007/978-3-031-52116-4_9⟩. ⟨hal-04972418⟩

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), Oct 2025, Bologna, Italy. ⟨10.3233/FAIA251139⟩. ⟨hal-04938472v3⟩

Urtzi Ayesta, Sergey Foss, M Jonckheere, Vittorio Puricelli. When Q-Learning fails: unstable behavior for infinite state spaces. IFIP WG 7.3 Performance 2025, Nov 2025, Amsterdam, Netherlands. ⟨hal-05506960⟩

Preprints, Working Papers, ...

Chiara Mignacco, Matthieu Jonckheere, Gilles Stoltz. Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy. 2025. ⟨hal-05302715⟩

Urtzi Ayesta, Sergey Foss, Matthieu Jonckheere, Vittorio Puricelli. On the instability of local learning algorithms: Q-learning can fail in infinite state spaces. 2025. ⟨hal-05336798⟩

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

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

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⟩

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⟩

Conference papers

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⟩

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⟩

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

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⟩

2016

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⟩