All data science & AI publications

Leblanc, O., Chu, C. S., Jacques, L., & Wiaux, Y. (2025). MROP: modulated rank-one projections for compressive radio interferometric imaging. Monthly Notices of the Royal Astronomical Society, 543(2), 1727-1747. https://doi.org/10.1093/mnras/staf1510 (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)

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)

Stephenson, M., Sidji, M., & Ronval, B. (2025). Codenames as a Benchmark for Large Language Models. IEEE Transactions on Games, 1-12. https://doi.org/10.1109/tg.2025.3563810 (Original work published 2025)

Doré, S., Coutinho, J., Khan, A. Z., Lefèvre, P., & Blohm, G. (2025). Latency and amplitude of catch-up saccades to accelerating targets. Journal of Neurophysiology, 133(1), 3-13. https://doi.org/10.1152/jn.00123.2024 (Original work published 2025)

Gerbaux, J., Desaulniers, G., & Cappart, Q. (2025). A machine-learning-based column generation heuristic for electric bus scheduling. Computers & Operations Research, 173, 106848. https://doi.org/10.1016/j.cor.2024.106848 (Original work published 2025)

Le Sellier De Chezelles, T., Gasse, M., & Lacoste, A. (2025). The BrowserGym Ecosystem for Web Agent Research. Transactions on Machine Learning Research, 03(3835), 33. (Original work published 2025)

Xu, G.-H., Kolchinsky, A., Delvenne, J.-C., & Ito, S. (2025). Thermodynamic Geometric Constraint on the Spectrum of Markov Rate Matrices. Physical Review Letters, 135(25). https://doi.org/10.1103/z4t2-18cx (Original work published 2025)

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)

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)

Cappart, Q., Guns, T., Lombardi, M., Pesant, G., & Tsouros, D. (2025). Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities. Journal of Artificial Intelligence Research, 84(28), 52. https://doi.org/10.1613/jair.1.19533 (Original work published 2025)

Banse, A., Romao, L., abate, A., & Jungers, R. (2025). Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric. IEEE Transactions on Automatic Control, 70(12), 8092-8103. https://doi.org/10.48550/arXiv.2405.08353 (Original work published 2025)

Anand, M., Jungers, R., Zamani, M., & Allgöwer, F. (2025). On the Completeness and Ordering of Path-Complete Barrier Functions. arXiv. Submitted. https://doi.org/10.48550/arXiv.2503.19561 (Original work published 2025)

Dennis J.N.J. Soemers, Jakub Kowalski, Walter Crist, Summer Courts, Tim Penn, & Piette, E. (2025). Bridging Artificial Intelligence (AI) and Cultural Heritage: Outcomes From the GameTable Working Group 1 (WG1) London Meeting. ICGA Journal, 47(1), 41-47. https://doi.org/10.1177/13896911251329543 (Original work published 2025)

Bonnin, M., Bonani, F., Delvenne, J.-C., Van Brandt, L., & Traversa, F. (2025). Thermodynamically Consistent Noise Modeling in Non-Linear Circuits. Fluctuation and Noise Letters, 135. https://doi.org/10.1142/s021947752540019x (Original work published 2025)

Feuillen, T., Vandendorpe, L., & Jacques, L. (2025). A Novel Multiplicative Phase Dithering Scheme for 1-bit Compressive Radar. IEEE Journal on Selected Topics in Signal Processing, 1-15. https://doi.org/10.1109/JSTSP.2025.3606387 (Original work published 2025)

Mil-Homens Cavaco, N., Jacques, L., & Absil, P.-A. (2025). Exoplanet detection in angular and spectral differential imaging with an accelerated proximal gradient algorithm. ESANN Proceedings. Published. ESANN 2025, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2025.es2025-103 (Original work published 2025)

Tachella, J., Davies, M., & Jacques, L. (2025). UNSURE: self-supervised learning with Unknown Noise level and Stein’s Unbiased Risk Estimate. 13th International Conference on Learning Representations (ICLR 2025). Published. 13th International Conference on Learning Representations (ICLR 2025), Singapore.

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)

Dierckx, L., Dubray, A., & Nijssen, S. (2025). Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits. International Joint Conference on Artificial Intelligence, Montreal, Canada.

Ronval, B., Dupont, P., & Nijssen, S. (2025). Detection of Large Language Model Contamination with Tabular Data. Advances in Intelligent Data Analysis XXIII 23nd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germa, 234-245. https://doi.org/10.1007/978-3-031-91398-3_18 (Original work published 2025)

Sprockeels, D., & Van Roy, P. (2025). Towards a Practical Tool for Music Composition: Using Constraint Programming to Model Chord Progressions and Modulations. International Joint Conference on Artificial Intelligence, Montréal, Canada.

Verhaeghe, H., Cappart, Q., Pesant, G., & Quimper, C.-G. (2025). Apprentissage de précédences pour des problèmes de planification avec des réseaux de neurones en graphes. Vingtième journées Francophones de Programmation par Contraintes (JFPC25), Dijon, France.

Yin, C., Cappart, Q., & Pesant, G. (2025). Shaping Reward Signals in Reinforcement Learning Using Constraint Programming. CPAIOR 2025, Part II, 15763, 252-269. https://doi.org/10.1007/978-3-031-95976-9_16 (Original work published 2025)

Barral, H., Cappart, Q., Huguet, M.-J., & Thiébaux, S. (2025). Convergence accélérée de la Décomposition Lagrangienne pour la Planification Automatique. Actes des 20es Journées Francophones de Programmation par Contraintes, 128-133. (Original work published 2025)

Bayat, A., Abate, A., Ozay, N., & Jungers, R. (2025). LLM-Enhanced Symbolic Control for Safety-Critical Applications. IFAC-PapersOnLine, 59(26), 43-48. https://doi.org/10.1016/j.ifacol.2025.12.008 (Original work published 2025)

Jongeneel, W., & Jungers, R. (2025). On preorders of path-complete Lyapunov functions through lifts. Book of Abstracts 44th Benelux Meeting on Systems and Control. Published. 44th Benelux Meeting on Systems and Control, Egmond aan Zee, The Netherlands.

Zhang, S., Jungers, R., & Lei, W. (2025). Region of Synchronization Estimation for Complex Networks via SOS Programming. 2025 European Control Conference (ECC), Thessaloniki, Greece.

Morenville, A., & Piette, E. (2025). CAP: Belief Stochastic Game: A Model for Imperfect-Information Games with Known Positions. Conférence sur l’Apprentissage Automatique, Dijon, France.

Morenville, A., & Piette, E. (2025). Modeling Uncertainty: Constraint-Based Belief States in Imperfect-Information Games. 2025 IEEE Conference on Games (CoG). Published. 2025 IEEE Conference on Games (CoG), Lisbon, Portugal. https://doi.org/10.1109/cog64752.2025.11114384

Delogne, R., & Jacques, L. (2025). Random Features for Grassmannian Kernels. SSP proceedings, 1(1), 1-4. https://doi.org/10.1109/ssp64130.2025.11073301 (Original work published 2025)

Hanon, T., Mil-Homens Cavaco, N., Kiely, J., & Jacques, L. (2025). Herglotz-NET: Implicit Neural Representation of Spherical Data with Harmonic Positional Encoding. Sampta′25 proceedings, 1(1), 1-5. https://doi.org/10.1109/sampta64769.2025.11133527 (Original work published 2025)

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)

Panagiotou, E., Ronval, B., Roy, A., Bothmann, L., Bischl, B., Nijssen, S., & Ntoutsi, E. (2025). TabFairGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees. International Conference on Data Mining 2025 (ICDM 2025). Published. International Conference on Data Mining 2025 (ICDM 2025), Washington DC, United-States. (Original work published 2025)

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

Ronval, B., Dupont, P., & Nijssen, S. (2025). TAGAL: Tabular Data Generation using Agentic LLM Methods. SynDAiTE, ECML PKDD 2025 Workshop. Accepted/in-press. SynDAiTE, ECML PKDD 2025 Workshop, Porto, Portugal. (Original work published 2025)

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

Boisvert, L., Bansal, M., Evuru, C. K. R., Huang, G., Puri, A., Bose, A., Fazel, M., Cappart, Q., Stanley, J., Lacoste, A., Drouin, A., & Dvijotham, K. (. (2025). DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. COLM 2025, 2025. (Original work published 2025)

Montanaro, Y. S., Jacquet, T., Cappart, Q., & Desaulniers, G. (2025). A Column Generation Heuristic for Multi-depot Electric Bus Scheduling. CPAIOR 2025, Part II, 15763, 103-118. https://doi.org/10.1007/978-3-031-95976-9_7 (Original work published 2025)

Bessa, S., Dabert, D., Bourgeat, M., Rousseau, L.-M., & Cappart, Q. (2025). Apprentissage de bornes duales valides en programmation par contrainte : Décomposition lagrangienne amplifiée avec apprentissage auto-supervisé. Actes des 20es Journées Francophones de Programmation par Contraintes, 87-89. (Original work published 2025)

Bessa, S., Dabert, D., Bourgeat, M., Rousseau, L.-M., & Cappart, Q. (2025). Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 39(11), 11113-11121. https://doi.org/10.1609/aaai.v39i11.33208 (Original work published 2025)

Marty, T., Boisvert, L., François, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (2025). Apprentissage et calibrage d’une heuristique générique de choix de valeur dans un solveur de programmation par contraintes. Actes des 20es Journées Francophones de Programmation par Contraintes, 57-59. (Original work published 2025)

Banse, A., Delimpaltadakis, G., Laurenti, L., Mazo, M., & Jungers, R. (2025). Memory-dependent abstractions of stochastic systems through the lens of transfer operators. Proceedings of the 28th ACM International Conference on Hybrid Systems: Computation and Control, 3, 1-12. https://doi.org/10.1145/3716863.3718039 (Original work published 2025)

Janssens, A., Banse, A., Calbert, J., & Jungers, R. (2025). Agile Temporal Discretization for Symbolic Optimal Control. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil.

Jongeneel, W., & Jungers, R. (2025). Ordering and refining path-complete Lyapunov functions through composition lifts. 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil.

Debauche, V., Edwards, A., Jungers, R., & Abate, A. (2025). Formal Synthesis of Lyapunov Stability Certificates for Linear Switched Systems using ReLU Neural Networks. Proceedings of Machine Learning Research, 288, 1-13. (Original work published 2025)

Piette, E., Morenville, A., Barbara Caré, Dorina Moullou, & Piette, E. (2025). AI-powered Game Recognition: A Collaborative Dataset for Traditional Games. Computer Applications and Quantitative Methods in Archaeology (CAA), Athens, Greece.

Lambert, P., Couplet, E., Verleysen, M., & Lee, J. (2025). Neighbour Embeddings: Beyond Visualisation. The Eurographics Association. https://doi.org/10.2312/mlvis.20251156

Kirkove, D., Ben Mustapha, S., Jodogne, S., & Pétré, B. (2024). L’utilisation de l’imagerie médicale en tant qu’outil d’éducation thérapeutique du patient en radiothérapie : étude de faisabilité. Revue médicale de Liège, 79(S1), 100-106. (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)

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)

Larocque, R., Boulé, A.-M., & Cappart, Q. (2024). Estimating Road Construction Costs with Explainable Machine Learning. INFORMS Journal on Applied Analytics, 55(2), 137-153. https://doi.org/10.1287/inte.2023.0027 (Original work published 2025)

Marty, T., Boisvert, L., François, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (2024). Learning and fine-tuning a generic value-selection heuristic inside a constraint programming solver. Constraints : an international journal, 29(3-4), 234-260. https://doi.org/10.1007/s10601-024-09377-4 (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)

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)

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)

Mathys, A., Pollet, Y., Gressin, A., Muth, X., Brecko, J., Dekoninck, W., Vandenspiegel, D., Jodogne, S., & Semal, P. (2024). Sphaeroptica: A tool for pseudo-3D visualization and 3D measurements on arthropods. PLOS ONE, 19(10), 1-32. https://doi.org/10.1371/journal.pone.0311887 (Original work published 2024)

Hoffmann, A., & Crevecoeur, F. (2024). Dissociable Effects of Urgency and Evidence Accumulation during Reaching Revealed by Dynamic Multisensory Integration. eNeuro, 11(12), ENEURO. https://doi.org/10.1523/eneuro.0262-24.2024 (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)

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)

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)

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)

Córdova Bulens, D., du Bois de Dunilac, S., Delhaye, B., Lefèvre, P., & Redmond, S. J. (2024). Open-source instrumented object to study dexterous object manipulation. eNeuro, 11(1), ENEURO. https://doi.org/10.1101/2023.10.20.563288 (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)

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)

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)

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)

AliAbbasi, E., Muzammil, M., Sirin, O., Lefèvre, P., Martinsen, Ø. G., & Basdogan, C. (2024). Effect of Finger Moisture on Tactile Perception of Electroadhesion. IEEE Transactions on Haptics, 17(4), 841-849. https://doi.org/10.1109/toh.2024.3441670 (Original work published 2024)

Jodogne, S. (2024). Apport du logiciel libre en imagerie médicale. Revue médicale de Liège, 79(S1), 75-83. (Original work published 2024)

Kalidindi, H. T., & Crevecoeur, F. (2024). Task-dependent coarticulation of movement sequences. eLife, 13. https://doi.org/10.7554/elife.96854.3 (Original work published 2024)

Kafaei, P., Cappart, Q., Chapados, N., Pouya, H., & Rousseau, L.-M. (2024). Dynamic Routing and Wavelength Assignment with Reinforcement Learning. INFORMS Journal on Optimization, 6(1), 1-18. https://doi.org/10.1287/ijoo.2023.0092 (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)

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)

Dierckx, L., Dubray, A., & Nijssen, S. (2024). Parameter Learning using Approximate Model Counting. 18th International conference on Neural-Symbolic Learning and Reasoning, Barcelona.

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)

Jodogne, S. (2024). Plateforme libre, intégrée et interopérable pour la détection de masses en mammographie. Colloque International du Réseau d’Excellence des Sciences de l’Ingénieur de la Francophonie (RESCIF), Yaoundé, Cameroon.

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)

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

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

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.

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.

Boisvert, L., Verhaeghe, H., & Cappart, Q. (2024). Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches. Integration of CP, AI, and OR 21th International Conference, CPAIOR2024, 14742(1), 99-108. https://doi.org/10.1007/978-3-031-60597-0_7 (Original work published 2024)

Barral, H., Gaha, M., Dems, A., Côté, A., Nguewouo, F., & Cappart, Q. (2024). Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem. CPAIOR 2024, Uppsala, Sweden, May 28–31, 2024, Proceedings, Part I, 14742, 34-50. https://doi.org/10.1007/978-3-031-60597-0_3 (Original work published 2024)

Drouin, A., Gasse, M., Caccia, M., Laradji, I. H., Del Verme, M., Marty, T., Boisvert, L., Thakkar, M., Cappart, Q., Vazquez, D., Chapados, N., & Lacoste, A. (2024). WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICLR 2024 Workshop on Large Language Model (LLM) Agents. Published. ICLR 2024 LLM Agents workshop. (Original work published 2024)

Garmendia, A. I., Cappart, Q., Ceberio, J., & Mendiburu, A. (2024). MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24). Published. Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}, Jeju, South Korea. https://doi.org/10.24963/ijcai.2024/766 (Original work published 2024)

I. Garmendia, A., Morri, F., Cappart, Q., & Le Cadre, H. (2024). Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. In Endriss, U., Melo, F.S., Bach, K., Bugarín-Diz, A., Alonso-Moral, J.M., Barro, S., Heintz, F. (eds.) (ed.), Frontiers in Artificial Intelligence and Applications : ECAI 2024 (p. p. 2330-2337). I O S Press. https://doi.org/10.3233/faia240757

Anand, M., Jungers, R., Zamani, M., & Allgöwer, F. (2024). Path-Complete Barrier Functions for Safety of Switched Linear Systems. Proceedings 2024 IEEE 63rd Conference on Decision and Control (CDC). Published. 2024 IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy. https://doi.org/10.1109/cdc56724.2024.10886799 (Original work published 2024)

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)

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.

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.

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.

Manjah, D., Galland, S., De Vleeschouwer, C., & Macq, B. (2024). Autonomous Methods in Multisensor Architecture for Smart Surveillance. Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART. Published. 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, Rome, Italy. https://doi.org/10.5220/0012395700003636

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

Rotsart de Hertaing, G., Manjah, D., & Macq, B. (2024). TrajViViT: A Trajectory Video Vision Transformer Network for Trajectory Forecasting. Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1. Published. 13th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, Rome, Italy. https://doi.org/10.5220/0012372000003654

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)

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)

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)

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)

Jodogne, S. (2024). Setting a PACS on FHIR. Proc. of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024), 2, 123-131. https://doi.org/10.5220/0012384600003657 (Original work published 2024)

Verhaeghe, H., Cappart, Q., Pesant, G., & Quimper, C.-G. (2024). Learning Precedences for Scheduling Problems with Graph Neural Networks. 30th International Conference on Principles and Practice of Constraint Programming, CP2024, 307(1), 30:1-30:18. https://doi.org/10.4230/LIPIcs.CP.2024.30 (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

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.

Hoppe, H., Enders, T., Cappart, Q., & Schiffer, M. (2024). Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. Proceedings of Machine Learning Research 6th Annual Conference on Learning for Dynamics and Control, 242, 260-272. (Original work published 2024)

Yin, C., Cappart, Q., & Pesant, G. (2024). An Improved Neuro-Symbolic Architecture to Fine-Tune Generative AI Systems. CPAIOR 2024, Uppsala, Sweden, May 28–31, 2024, Proceedings, Part II, 14743, 279-288. https://doi.org/10.1007/978-3-031-60599-4_19 (Original work published 2024)

Parjadis, A., Cappart, Q., Dilkina, B., Ferber, A., & Rousseau, L.-M. (2024). Learning Lagrangian Multipliers for the Travelling Salesman Problem. Leibniz International Proceedings in Informatics, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), 22:1-22:18. (Original work published 2024)

Boisvert, L., Caccia, M., Cappart, Q., Chapados, N., De Chezelles, T., Drouin, A., Gasse, M., Lacoste, A., & Thakkar, M. (2024). WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks. 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Published. Advances in Neural Information Processing Systems 37, Vancouver, BC, Canada. https://doi.org/10.52202/079017-0195 (Original work published 2024)

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.

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

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.