All algorithms & optimization publications

Beghin, P., Ceulemans, A.-E., & Glineur, F. (2025, September 8). DIGITAL HERITAGE (2025) Identification of Violin Reduction via Contour Lines Classification. Digital Heritage – International Congress 2025, Siena, Italy. https://doi.org/10.2312/dh.20253083

Rotaru, T., Panagiotis, P., & Glineur, F. (2025). Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. PMLR Proceedings of Machine Learning Research, 258, 4114-4122. (Original work published 2025)

Fierens, A., Englebert, A., & Jodogne, S. (2025). Translating UMLS Concepts to Improve Medical Entity Linking in French: A SapBERT-Based Approach. Studies in Health Technology and Informatics, 327, 870-871. https://doi.org/10.3233/SHTI250484 (Original work published 2025)

Van Dessel, G., & Glineur, F. (2025). Presolve techniques for quasi-convex chance constraints with finite-support low-dimensional uncertainty. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.

Mataigne, S., Absil, P.-A., & Miolane, N. (2025). On the Approximation of the Riemannian Barycenter. Lecture Notes in Computer Science : Geometric Science of Information, p. 12-21. https://doi.org/10.1007/978-3-032-03921-7_2

Goyens, F., Absil, P.-A., & Feppon, F. (2025). Geometric Design of the Tangent Term in Landing Algorithms for Orthogonality Constraints. Lecture Notes in Computer Science : Geometric Science of Information, p. 133-141. https://doi.org/10.1007/978-3-032-03924-8_14

Vernimmen, P., & Glineur, F. (2025). Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.

Rotaru, T., Patrinos, P., & Glineur, F. (2025). Tight Convergence Rates in Gradient Mapping for the Difference-of Convex Algorithm. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.

Langlois, Q., & Jodogne, S. (2025). Comparison between Machine Learning and Deep Learning on Multiple Motor Imagery Paradigms in a Low-Resource Context. Proc. the 18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025). Published. 18th International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2025), Porto, Portugal. (Original work published 2025)

Zamani, M., & Glineur, F. (2025). Exact convergence rate of the last iterate in subgradient methods. SIAM Journal on Optimization, 35(3), 2182-2201. https://doi.org/10.1137/24M1717762 (Original work published 2025)

Lemaréchal, Y., Couture, G., Pelletier, F., Lefol, R., Asselin, P.-L., Ouellet, S., Bernard, J., Ebrahimpour, L., Manem, V. S. K., Topalis, J., Schachtner, B., Jodogne, S., Joubert, P., Jeblick, K., Ingrisch, M., & Després, P. (2025). PARADIM: A Platform to Support Research at the Interface of Data Science and Medical Imaging. Journal of Imaging Informatics in Medicine. Accepted/in-press. https://doi.org/10.1007/s10278-025-01554-y (Original work published 2025)

Mattenet, S., Van der Linden, T., & Jungers, R. (2025). The cohomology objects of a semi-abelian variety are small. Theory and Applications of Categories, 44(22), 643-663. https://doi.org/10.48550/arXiv.2411.17200 (Original work published 2025)

Rocher, L., Hendrickx, J., & Montjoye, Y.-A. d. (2025). A scaling law to model the effectiveness of identification techniques. Nature Communications, 16(1). https://doi.org/10.1038/s41467-024-55296-6 (Original work published 2025)

Mataigne, S., Zimmermann, R., & Miolane, N. (2025). An Efficient Algorithm for the Riemannian Logarithm on the Stiefel Manifold for a Family of Riemannian Metrics. SIAM Journal on Matrix Analysis and Applications, 46(2), 879-905. https://doi.org/10.1137/24M1647801 (Original work published 2025)

Fanuel, M., Aspeel, A., Schaub, M. T., & Delvenne, J.-C. (2025). Ellipsoidal Embeddings of Graphs. SIAM Journal on Applied Mathematics, 85(2), 413-432. https://doi.org/10.1137/24m1648363 (Original work published 2025)

Pinon, B., Jungers, R., & Delvenne, J.-C. (2025). A limitation on black-box dynamics approaches to Reinforcement Learning. Transactions on Machine Learning Research. Accepted/in-press. (Original work published 2025)

Mataigne, S., Absil, P.-A., & Miolane, N. (2025). Bounds on the geodesic distances on the Stiefel manifold for a family of Riemannian metrics. Linear Algebra and Its Applications, 730, 1-34. https://doi.org/10.1016/j.laa.2025.10.003 (Original work published 2026)

Nabou, Y., Glineur, F., & Necoara, I. (2025). Proximal gradient methods with inexact oracle of degree q for composite optimization. Optimization Letters, 19(2), 285-306. https://doi.org/10.1007/s11590-024-02118-9 (Original work published 2025)

Farid, Y., & Jungers, R. (2025). Binary Combinatorial Optimization-based Path Planning and Optimal Reach Control in Piecewise Linear Neural Abstraction Domain. Neurocomputing, 669. https://doi.org/10.1016/j.neucom.2025.132504 (Original work published 2026)

Absil, P.-A., & Mataigne, S. (2025). The Ultimate Upper Bound on the Injectivity Radius of the Stiefel Manifold. SIAM Journal on Matrix Analysis and Applications, 46(2), 1145-1167. https://doi.org/10.1137/24m1644808 (Original work published 2025)

Queguiner, A., & Tignol, J.-P. (2025). Witt groups of Severi-Brauer varieties and of function fields of conics. Epijournal de géométrie algébrique, 9(4), 1-27. https://doi.org/10.46298/epiga.2024.11171 (Original work published 2025)

Delvenne, J.-C., & Van Brandt, L. (2025). Moments of Entropy Production in Dissipative Devices. Physical Review Letters, 134(23). https://doi.org/10.1103/jqsx-ycjv (Original work published 2025)

Bianchin, G., & Delvenne, J.-C. (2024). Cycle families and Resilience of Dynamical Networks. IEEE Xplore. Published. 2024 American Control Conference (ACC), Toronto, ON, Canada. https://doi.org/10.23919/acc60939.2024.10644385

Sadre, W., Huet-Dastarac, M., Deffet, S., Sterpin, E., Barragan Montero, A. M., Jodogne, S., & Lee, J. (2024). PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. Lecture Notes in Electrical Engineering, 1372, 474-483. https://doi.org/10.1007/978-981-96-3863-5_43 (Original work published 2024)

Morenville, A., & Piette, E. (2024). Belief Stochastic Game: A Model for Imperfect-Information Games with Known Positions. In Michael Hartisch, Chu-Hsuan Hsueh, Jonathan Schaeffer (ed.), Computers and Games: 12th International Conference.

Chatzopoulos, E., & Jodogne, S. (2024). Integrated and Interoperable Platform for Detecting Masses on Mammograms. Studies in Health Technology and Informatics, 316, 1103-1107. https://doi.org/10.3233/SHTI240603 (Original work published 2024)

Sprockeels, D., & Van Roy, P. (2024). Expressing Musical Ideas With Constraint Programming Using a Model of Tonal Harmony. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence. Published. International Joint Conference on Artificial Intelligence, Jeju, South Korea.

Van Brandt, L., Flandre, D., & Delvenne, J.-C. (2024). Stochastic Nonlinear Dynamical Modelling of SRAM Bitcells in Retention Mode. IEEE Xplore. Published. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), Bangalore, India. https://doi.org/10.1109/edtm58488.2024.10512067

Langlois, Q., Szelagowski, N., Vanderdonckt, J., & Jodogne, S. (2024). Open Platform for the De-identification of Burned-in Texts in Medical Images using Deep Learning. Proc. of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024), 1, 297-304. https://doi.org/10.5220/0012430300003657 (Original work published 2024)

Bousselmi, N., Pustelnik, N., Hendrickx, J., & Glineur, F. (2024). Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. Eusipco 2024, p. 2647-2651. https://doi.org/10.23919/EUSIPCO63174.2024.10715388

Delogne, R., & Jacques, L. (2024). Quadratic polynomial kernel approximation with asymmetric embeddings. International Workshop on Deep Learning and Kernel Machines (2024). Published. DEEPK24, Leuven. (Original work published 2024)

Jungers, R., Calbert, J., Mattenet, S., Girard, A., & et al. (2024). Memoryless concretization relation. Proceedings of the 27th ACM International Conference on Hybrid Systems: Computation and Control, 1(1), 147-155. https://doi.org/10.1145/3641513.3650132 (Original work published 2024)

Vizuete Haro, R. S., & Hendrickx, J. (2024). Nonlinear identifiability of directed acyclic graphs with partial excitation and measurement. Proceedings of the 61th IEEE Conference on Decision and Control (CDC 2024). Published. 2024 IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy. https://doi.org/10.1109/cdc56724.2024.10886435

Debauche, V., Jungers, R., & et al. (2024). Formal Synthesis of Lyapunov Stability Certificates for Linear Switched Systems using ReLU Neural Networks. 6th Annual Learning for Dynamics & Control Conference, Oxford.

Morenville, A., & Piette, E. (2024). Vers une Approche Polyvalente pour les Jeux à Information Imparfaite sans Connaissance de Domaine. Plate-Forme d’Intelligence Artificielle - Rencontres des Jeunes Chercheurs en Intelligence Artificielle, La Rochelle, France.

Mataigne, S., Johan Mathe, Sophia Sanborn, Christopher Hillar, & Nina Miolane. (2024). The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), p. 115682--115711.

Langlois, Q., & Jodogne, S. (2024). Embeddings for Motor Imagery Classification. Machine Learning for Signal Processing, 1-6. https://doi.org/10.1109/MLSP58920.2024.10734730 (Original work published 2024)

Todd, G., Padula, A., Stephenson, M., Piette, E., Soemers, D., & Togelius, J. (2024). GAVEL: Generating Games Via Evolution and Language Models. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, C. Zhang (ed.), Advances in Neural Information Processing Systems 37.

Jungers, R. (2024). Statistical comparison of Path-Complete Lyapunov Functions: a Discrete-Event Systems perspective. In Proc. of IFAC-WODES′24. Published. WODES 2024, Rio de Janeiro, Brazil. (Original work published 2024)

Loucheur, B., Absil, P.-A., & Journée, M. (2024). Weather Data Imputation Using Graph-Based Low-Rank Matrix Completion with Variable Projection. Proceedings of BNAIC/BeNeLearn 2024, p. 1-16.

Debauche, V., Alec Edwards, Jungers, R., & Alessandro Abate. (2024). Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions. The 38th Annual AAAI Conference on Artificial Intelligence, Vancouver.

Dorina Moullou, Walter Crist, Timothy Penn, & Piette, E. (2024). Gametable Network: Unveiling the Past, Embracing the Future Through AI-Driven Archaeological Research. 30th Annual Meeting of the European Association of Archaeologists, Rome, Italie.

Vizuete Haro, R. S., Frasca, P., & Panteley, E. (2024). SIS Epidemics on Open Networks: A Replacement-Based Approximation. n/. Published. 2024 European Control Conference (ECC), Stockholm, Sweden. https://doi.org/10.48550/arXiv.2403.16727 (Original work published 2024)

Vernimmen, P., & Glineur, F. (2024). Convergence analysis of an inexact gradient method on smooth convex functions. ESANN 2024 proceedings. Published. ESANN 2024, European Symposium on Artificial Neural Networks, Computational Intellignece and Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2024.es2024-171

Colla, S., & Hendrickx, J. (2024). On the Optimal Communication Weights in Distributed Optimization Algorithms. IFAC-PapersOnLine, 58(17), 19-24. https://doi.org/10.1016/j.ifacol.2024.10.107 (Original work published 2024)

Legat, A., & Hendrickx, J. (2024). Combinatorial Characterization for Global Identifiability of Separable Networks with Partial Excitation and Measurement. 2023 62nd IEEE Conference on Decision and Control (CDC), p. 2471-2476. https://doi.org/10.1109/cdc49753.2023.10383708

Dennis J.N.J. Soemers, Vegard Mella, Piette, E., Matthew Stephenson, Cameron Browne, & Teytaud, O. (2024). Encore Abstract: Towards a General Transfer Approach for Policy-Value Networks. In Dragan Doder, Wilson Silva, Cristiana Teixeira Santos, Sonja de Zwarte (ed.), Joint International Scientific Conferences on AI and Machine Learning for Belgium, Netherlands, and Luxembourg.

Van Brandt, L., Delvenne, J.-C., & Flandre, D. (2024). Variability-Aware Noise-Induced Dynamic Instability of Ultra-Low-Voltage SRAM Bitcells. IEEE Xplore. Published. 2024 IEEE 15th Latin America Symposium on Circuits and Systems (LASCAS), Punta del Este, Uruguay. https://doi.org/10.1109/lascas60203.2024.10506179

Chatzopoulos, E., & Jodogne, S. (2024). Assessing the Impact of Deep Learning Backbones for Mass Detection in Breast Imaging. Lecture Notes in Computer Science, 14976, 33-47. https://doi.org/10.1007/978-3-031-67285-9_3 (Original work published 2024)

Soemers, D. J. N. J., Piette, E., Stephenson, M., & Browne, C. (2024). The Ludii Game Description Language is Universal. 2024 IEEE Conference on Games (CoG). Published. 2024 IEEE Conference on Games (CoG), Milan, Italy. https://doi.org/10.1109/cog60054.2024.10645550

Sechaud, V., Jacques, L., & Tachella, J. (2024). Equivariance-based self-supervised learning for audio signal recovery from clipped measurements. Proc of 32nd European Signal Processing Conference (EUSIPCO), 1(1), 852. (Original work published 2024)

Si, W., Absil, P.-A., Huang, W., Jiang, R., & Vary, S. (2024). A Riemannian Proximal Newton Method. SIAM Journal on Optimization, 34(1), 654-681. https://doi.org/10.1137/23m1565097 (Original work published 2023)

de Walque, J.-M., de Terwangne, C., Jungers, R., Pierard, S., Beauloye, C., Laarbaui, F., Dechamps, M., & Jacquet, L.-M. (2024). Potential for recovery after extremely prolonged VV-ECMO support in well-selected severe COVID-19 patients: a retrospective cohort study. BMC pulmonary medicine, 24(1), 19 [1-9]. https://doi.org/10.1186/s12890-023-02836-3 (Original work published 2024)

Bendokat, T., Zimmermann, R., & Absil, P.-A. (2024). A Grassmann manifold handbook: basic geometry and computational aspects. Advances in Computational Mathematics, 50(1). https://doi.org/10.1007/s10444-023-10090-8 (Original work published 2024)

Singh, S., & Jungers, R. (2024). Using Symbolic Dynamics to Compare Path-Complete Lyapunov Functions. I E E E Conference on Decision and Control. Proceedings, 5598-5603. (Original work published 2024)

Banse, A., Renganathan, V., & Jungers, R. (2024). A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2407.08324 (Original work published 2024)

Mei, W., Hendrickx, J., Chen, G., Bullo, F., & Dörfler, F. (2024). Convergence, Consensus, and Dissensus in the Weighted-Median Opinion Dynamics. IEEE Transactions on Automatic Control, 69(10), 6700-6714. https://doi.org/10.1109/tac.2024.3376752 (Original work published 2024)

Calbert, J., Neves Egidio, L., & Jungers, R. (2024). Smart Abstraction Based on Iterative Cover and Non-Uniform Cells. IEEE Control Systems Letters, 8, 2301-2306. https://doi.org/10.1109/lcsys.2024.3409106 (Original work published 2024)

Monnoyer de Galland de Carnières, G., Feuillen, T., Vandendorpe, L., & Jacques, L. (2024). Grid Hopping in Sensor Networks: Acceleration Strategies for Single-Step Estimation Algorithms. IEEE Transactions on Signal Processing, 72(1), 4463-4478. https://doi.org/10.1109/tsp.2024.3465842 (Original work published 2024)

Calbert, J., Girard, A., & Jungers, R. (2024). Classification of simulation relations for symbolic control. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2410.06083 (Original work published 2024)

Piette, E., Crist, W., Soemers, D. J. N. J., Rougetet, L., Courts, S., Penn, T., & Morenville, A. (2024). GameTable COST action: kickoff report. ICGA Journal, 45(4), 1-17. https://doi.org/10.3233/icg-240245 (Original work published 2024)

Absil, P.-A., Cojuhari, I., Fiodorov, I., & Tits, A. L. (2024). Strong versions of impulsive controllability and sampled observability. Automatica, 169, 111865. https://doi.org/10.1016/j.automatica.2024.111865 (Original work published 2024)

Ablin, P., Vary, S., Gao, B., & Absil, P.-A. (2024). Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints. Journal of Machine Learning Research, 25(389), 1-38. https://doi.org/10.48550/arXiv.2303.16510 (Original work published 2023)

Brudermüller, L., Berger, G., Jankowski, J., Bhattacharyya, R., Jungers, R., & Hawes, N. (2024). CC-VPSTO: Chance-Constrained Via-Point-based Stochastic Trajectory Optimisation for Safe and Efficient Online Robot Motion Planning. arXiv preprint. Published. https://doi.org/10.48550/arXiv.2402.01370 (Original work published 2024)

Leblanc, O., Hofer, M., Sivankutty, S., Rigneault, H., & Jacques, L. (2024). Interferometric Lensless Imaging: Rank-One Projections of Image Frequencies With Speckle Illuminations. IEEE Transactions on Computational Imaging, 10, 208-222. https://doi.org/10.1109/tci.2024.3359178 (Original work published 2024)

Becher, K.-J., Grenier-Boley, N., & Tignol, J.-P. (2024). The discriminant Pfister form of an algebra with involution of capacity four. Israel Journal of Mathematics, 264(1), 235-280. https://doi.org/10.1007/s11856-024-2647-4 (Original work published 2024)

Bousselmi, N., Hendrickx, J., & Glineur, F. (2024). Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems. SIAM Journal on Optimization, 34(3), 3033-3063. https://doi.org/10.1137/23m1575391 (Original work published 2024)

Benner, P., Goyal, P., & Van Dooren, P. (2024). Parameterized Interpolation of Passive Systems. SIAM Journal on Matrix Analysis and Applications, 45(2), 1035-1053. https://doi.org/10.1137/23m1580528 (Original work published 2024)

Berkhout, J., Heidergott, B., & Van Dooren, P. (2024). Perturbation and Inverse Problems of Stochastic Matrices. SIAM Journal on Matrix Analysis and Applications, 45(1), 553-584. https://doi.org/10.1137/22m1489162 (Original work published 2024)

Van Dessel, G., & Glineur, F. (2024). Optimal inexactness schedules for tunable oracle-based methods. Optimization Methods and Software, 39(3), 664-698. https://doi.org/10.1080/10556788.2023.2296982 (Original work published 2024)

Tignol, J.-P. (2024). Invariants de Witt des involutions de bas degré en caractéristique 2. Comptes Rendus Mathématiques / Académie des Sciences, 362(1), 1261-1271. https://doi.org/10.5802/crmath.640 (Original work published 2024)

Soemers, D. J. N. J., Kowalski, J., Piette, E., Morenville, A., & Crist, W. (2024). GameTable Working Group 1 meeting report on search, planning, learning, and explainability. ICGA Journal, 46(1), 28-35. https://doi.org/10.3233/icg-240251 (Original work published 2024)

Daglayan Sevim, H., Vary, S., Absil, O., Cantalloube, F., Christiaens, V., Gillis, N., Jacques, L., Leplat, V., & Absil, P.-A. (2024). An alternating minimization algorithm with trajectory for direct exoplanet detection : The AMAT algorithm. Astronomy & Astrophysics, 692, A126. https://doi.org/10.1051/0004-6361/202451242 (Original work published 2024)

Van Brandt, L., & Delvenne, J.-C. (2024). Predicting State Transitions in Autonomous Nonlinear Bistable Systems With Hidden Stochasticity. IEEE Control Systems Letters, 8, 850-855. https://doi.org/10.1109/lcsys.2024.3401586 (Original work published 2024)

Vuille, A., Berger, G., & Jungers, R. (2024). Data-driven stability analysis of switched linear systems using adaptive sampling. IFAC-PapersOnLine, 58(11), 31-36. https://doi.org/10.1016/j.ifacol.2024.07.421 (Original work published 2024)

Samari, B., Rossa, M. D., Lavaei, A., Soudjani, S., & Jungers, R. (2024). Multiplicative Barrier Certificates for Probabilistic Safety of Markov Jump Systems. IFAC-PapersOnLine, 58(11), 63-68. https://doi.org/10.1016/j.ifacol.2024.07.426 (Original work published 2024)

Dopico, F. M., Marcaida, S., Quintana, M. C., & Van Dooren, P. (2024). Linearizations of matrix polynomials viewed as Rosenbrock’s system matrices. Linear Algebra and Its Applications, 693, 116-139. https://doi.org/10.1016/j.laa.2023.05.010 (Original work published 2024)

Goujaud, B., Moucer, C., Glineur, F., Hendrickx, J., Taylor, A. B., & Dieuleveut, A. (2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation, 16(3), 337-367. https://doi.org/10.1007/s12532-024-00259-7 (Original work published 2024)

Fierens, A., & Jodogne, S. (2024). BERTinchamps: Cost-Effective In-House Training of Language Models in French. Italian Journal of Computational Linguistics (IJCOL), 10(2), 131-146. https://doi.org/10.17454/IJCOL102.07 (Original work published 2024)

Calbert, J., Banse, A., legat benoit, & Jungers, R. (2024). Dionysos.jl: a Modular Platform for Smart Symbolic Control. JuliaCon Proceedings, 6(66), 160. https://doi.org/10.21105/jcon.00160 (Original work published 2024)

Monnoyer de Galland de Carnières, C., Vizuete Haro, R. S., Hendrickx, J., Panteley, E., & Frasca, P. (2024). Random Coordinate Descent for Resource Allocation in Open Multiagent Systems. IEEE Transactions on Automatic Control, 69(11), 7600-7613. https://doi.org/10.1109/tac.2024.3394349 (Original work published 2024)

Zamani, M., Glineur, F., & Hendrickx, J. (2024). On the Set of Possible Minimizers of a Sum of Convex Functions. IEEE Control Systems Letters, 8, 1871-1876. https://doi.org/10.1109/lcsys.2024.3414378 (Original work published 2024)

Ren, W., Jungers, R., & Dimarogonas, D. V. (2024). Zonotope-based Symbolic Controller Synthesis for Linear Temporal Logic Specifications. IEEE Transactions on Automatic Control, 1-16. https://doi.org/10.1109/tac.2024.3394313 (Original work published 2024)

Delvenne, J.-C., & Falasco, G. (2024). Thermokinetic relations. Physical Review E, 109(1). https://doi.org/10.1103/physreve.109.014109 (Original work published 2024)

Crist, W., Piette, E., Soemers, D., Stephenson, M., & Browne, C. (2024). Computational Approaches for Recognising and Reconstructing Ancient Games: The Case of Ludus Latrunculorum. In Alessandro Pace, Tim Penn, Ulrich Schädler (eds) (ed.), Games in the Ancient World : Places, Spaces, Accessories. Editions Mergoil.

Vizuete Haro, R. S., Monnoyer de Galland de Carnières, C., Frasca, P., Panteley, E., & Hendrickx, J. (2024). Trends and Questions in Open Multi-agent Systems. In Postoyan, Romain ; Frasca, Paolo ; Panteley, E. ; Zaccarian, Luca (eds.) (ed.), Hybrid and Networked Dynamical Systems : Lecture Notes in Control and Information Sciences (p. p. 219-252). Springer, Cham. https://doi.org/10.1007/978-3-031-49555-7_10