Accepted papers at AI major conferences

2024 (Vancouver)

• "Learning Pattern-Based Extractors from Natural Language and Knowledge Graphs: Applying Large Language Models to Wikipedia and Linked Open Data" authored by Célian Ringwald (AAAI Doctoral Consortium Track)
• "Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts" co-authored by Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, and Hanna Abi Akl (Student Abstract)

2025 (Madrid)

• “No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture” by Hamza Belgroun, Fabien Gandon, and Franck Michel

2025 (Dublin)

• “MultiMediate'25: Cross-cultural Multi-domain Engagement Estimation”, co-authored by Daksitha Senel Withanage Don, Marius Funk, Michal Balazia, Huajian Qiu, Shogo Okada, François Brémond, Jan Alexandersson, Andreas Bulling, Elisabeth André, and Philipp Müller, in proceedings of the MultiMediate Challenge: Multi-modal Group Behaviour Analysis for Artificial Mediation

2026 (Tangier)

• Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams co-authored by Federica Granese, Serena Villata, and Charles Bouveyron

2026 (Denver)

• “MoVie: Broaden Your Views with Human Motion for Action Detection”, co-authored by D. Yang, M. Ali, X. Yu, X. Shen, Q. Kong, G. Francesca and F. Bremond, in proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
• “PRISM: Learning a Shared Primitive Space for Transferable Skeleton Action Representation”, co-authored by D. Yang, Y. Wang, S. Shao, F. Bremond, and J. Wang., in proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
• “3D Gaussian Splatting at Arbitrary Resolution with Compact Proxy Anchors”, co-authored by M. Jeong, S. Yoon, F. Bremond, and D. Cho., in proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

2024 (Seattle)

• "PoNQ: a Neural QEM-based Mesh Representation", co-authored by Nissim Maruani,  Maks Ovsjanikov, Pierre Alliez,  Mathieu Desbrun

2026 (Rabat)

• "CacheNotes: Task-Aware Key-Value Cache Compression for Reasoning-Intensive Knowledge Tasks", co-authored by Giulio Corallo, Orion Weller, Fabio Petroni, Paolo Papotti
• “Stakeholder Suite: A Unified AI Framework for Mapping Actors, Topics and Arguments in Public Debates” (demo track), co-authored by Mohamed Chenene, Jeanne Rouhier, Jean Daniélou, Mihir Sarkar, and Elena Cabrio

2025 (Suzhou)

• “SQUAB: Evaluating LLM's robustness to Ambiguous and Unanswerable Questions in Semantic Parsing” co-authored by Luca Cagliero, Paolo Papotti, and Simone Papicchio
• “Refining Attention for Explainable and Noise-Robust Fact-Checking with Transformers” co-authored by Jean-Flavien Bussotti and Paolo Papotti

2025 (Portorož)

• "Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction" co-authored by Fabien Gandon, Célian Ringwald, Catherine Faron, Franck Michel, and Hanna Abi Akl

2025 (Copenhagen)

• “RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models” co-authored by Dario Satriani, Enzo Veltri, Donatello Santoro, and Paolo Papott

2025 (Dallas)

• "Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints" co-authored by Rafael Silva, Caroline Stehlé, Guillaume Pétriat, Pierre-Henri Cadet, Thierry Tibi, and Maxime Sermesant

2025 (Honolulu)

• “Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection” co-authored by Giacomo D’Amicantonio, Snehashis Majhi, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond, Egor Bondarev, with supplementary In Proceedings of the IEEE/CVF International Conference on Computer Vision
• “Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation” co-authored by Tanay Agrawal, Abid Ali, Antitza Dantcheva, Francois Bremond, with supplementary In Proceedings of the IEEE/CVF International Conference on Computer Vision

2024 (Vienna)

• "PASOA- PArticle baSed Bayesian Optimal Adaptive design" co-authored by Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, and Florence Forbes (poster session)
• "Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm" co-authored by Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Kevin Scaman, and Giovanni Neglia (poster session)
• "Non-parametric online change point detection on Riemannian manifolds" co-authored by Xiuheng Wang, Ricardo Augusto Borsoi, and Cédric Richard (poster session)

2025 (Athens)

• “Cryptarithmetic Playtime” co-authored by Arnaud Malapert, Marie Pelleau, Margaux Schmied, and Davide Fissore

2024 (Jeju)

• "Markov Constraint as Large Language Model Surrogate" co-authored by Alexandre Bonlarron and Jean-Charles Régin
• "Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences" co-authored by Alexandre Bonlarron and Jean-Charles Régin

2025 (Dayton)

• "Q2Forge: Minting Competency Questions and SPARQL Queries for Question-Answering Over Knowledge Graphs" co-authored by Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Félix Nothias, and Fabien Gandon
• "Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties" co-authored by Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, and Hanna Abi Akl

2025 (Daejeon)

• “One-shot active learning for vessel segmentation” co-authored by Daniele Falcetta, Hava Chaptoukaev, Francesco Galati, and Maria A. Zuluaga
• “VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation” co-authored by Daniele Falcetta, Vincenzo Marciano, Kaiyuan Yang, Jon Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev, Benjamin Lemasson, Bjoern Menze, and Maria A. Zuluag

2025 (San Diego)

• “Streaming Federated Learning with Markovian Data” co-authored by Huỳnh Tấn Khiêm, Malcolm Egan, Giovanni Neglia, and Jean-Marie Gorce

2024 (Vancouver)

• "Improving Neural Network Surface Processing with Principal Curvatures" co-authored by Josquin Harrison, James Benn, and Maxime Sermesant (poster session)
• "On the Sparsity of the Strong Lottery Ticket Hypothesis" co-authored by Emanuele Natale, Davide Ferre', Giordano Giambartolomei, Frédéric Giroire, and Frederik Mallmann-Trenn (poster session)
• "Derivatives of Stochastic Gradient Descent in parametric optimization" co-authored by Franck Iutzeler, Edouard Pauwels, and Samuel Vaiter (poster session)

2025 (Nara)

• “User Interface and Agent Interface for Online Generation of Knowledge Graph’s Competency Questions and Question-Query Training Sets” co-authored by Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis-Félix Nothias, Fabien Gandon

2025 (Berlin)

• “Logical and Physical Optimizations for SQL Query Execution over Large Language Models” co-authored by Dario Satriani, Enzo Veltri, Donatello Santoro, Sara Rosato, Simone Varriale, and Paolo Papotti

2026 (Tucson)

• “Denoise, Divide, Distill, and Predict (D3P): Towards Forecasting Long-horizon Real-world Anomaly from Normalcy”, co-authored by Quentin Mérilleau, Snehashis Majhi, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, and François Brémond, In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
• “MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training”, co-authored by Muhammad Osama Zeeshan, Natacha Gillet, Alessandro Lameiras Koerich, Marco Pedersoli, François Brémond, and Eric Granger In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision