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 (3IA Ph.D. student), 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 (3IA Ph.D. student), 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

2026 (Paphos)

• "Fast and Robust Information Spreading in the Noisy PULL Model : Extended Abstract" co-authored by Niccolò d'Archivio, Amos Korman, Emanuele Natale, Robin Vacus

2026 (San Diego)

• "Parallel Context-of-Experts Decoding for Retrieval Augmented Generation" co-authored by Giulio Corallo, Paolo Papotti

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

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
• “Reconciling Communication Compression and Byzantine-Robustness in Distributed Learning” co-authored by Diksha Gupta, Antonio Honsell, Chuan Xu, Nirupam Gupta, and Giovanni Neglia
• "Rank Lifting and Random Non-Linear Maps" co-authored by Andrea Drago, Maria Sofia Bucarelli (3IA Postdoctoral researcher), Francesco Caso, Marius Michetti, Federico Siciliano, Fabrizio Silvestri, Luca Becchetti
• "The Majority Vote Paradigm Shift: When Popular Meets Optimal" co-authored by Antonio Purificato, Maria Sofia Bucarelli (3IA Postdoctoral researcher), Anil Nelakanti, Andrea Bacciu, Fabrizio Silvestri, Amin Mantrach

2026 (Lisbon)

• "The Distance Constraint on Sequence Variables" co-authored by Margaux Schmied (3IA Ph.D. student), Augustin Delecluse, Jean-Charles Régin, Pierre Schaus

2026 (Denver)

• “MoVie: Broaden Your Views with Human Motion for Action Detection”, co-authored byDi Yang, Mahmoud Ali, Xuanlong Yu, Xi Shen, Quan Kong, Gianpiero Francesca, François Brémond
• “PRISM: Learning a Shared Primitive Space for Transferable Skeleton Action Representation”, co-authored by Di Yang, Yaohui Wang, Shuai Shao, François Brémond, and Jiangtao Wang
• “3D Gaussian Splatting at Arbitrary Resolution with Compact Proxy Anchors”, co-authored by Mingyun Jeong, Seongro Yoon (3IA Ph.D. student), François Brémond, and Donghyeon Cho
• "PRISM: Learning a Shared Primitive Space for Transferable Skeleton Action Representation" co-authored by Di Yang, Yaohui Wang, Shuai Shao, François Brémond, Jiangtao Wang 
• Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition co-authored by Nissim Maruani, Peiying Zhang, Siddhartha Chaudhuri, Matthew Fisher, Nanxuan Zhao, Vladimir G. Kim, Pierre Alliez, Mathieu Desbrun, Wang Yifan
• "THEval. Evaluation Framework for Talking Head Video Generation" co-authored by Nabyl Quignon, Baptiste Chopin, Yaohui Wang, Antitza Dantcheva (Findings track)

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

2026 (Anglet)

• “Q²Forge : Générer des collections de questions de compétences et requêtes SPARQL pour interroger des graphes de connaissances en langue naturelle” (“Q²Forge: Generating Competency Question Collections and SPARQL Queries for Querying Knowledge Graphs in Natural Language”) co-authored by Yousouf Taghzouti, Franck Michel, Tao Jiang, Louis Felix Nothias, Fabien Gandon
• “Généraliser l’adaptation de modèles de langue frugaux pour l’extraction de motifs RDF à partir de texte” (“Generalising Frugal Language Model Adaptation for RDF Pattern Extraction from Text”) co-authored by Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl

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

2026 (Dubrovnik)

• "Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings" co-authored by Guillaume Méroué (3IA Ph.D. student), Fabien Gandon, Pierre Monnin

2025 (Portorož)

• "Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction" co-authored by Fabien Gandon, Célian Ringwald (3IA Ph.D. student), 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 Papotti

2026 (Kyoto)

• "SKEYES: Open Your Eyes to See More: Dual Perspective Contrastive Learning for Skeleton-Based Action Understanding" co-authored by Mahmoud Ali, Di Yang, Quan Kong, Gianpiero Francesca, and François Brémond

2025 (Dallas)

• "Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints" co-authored by Rafael Silva (3IA Ph.D. student), Caroline Stehlé (3IA Techpool), 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 
• “Scaling Action Detection: AdaTAD++ with Transformer-Enhanced Temporal-Spatial Adaptation” co-authored by Tanay Agrawal, Abid Ali, Antitza Dantcheva, Francois Bremond, with supplementary 

2026 (Rio de Janeiro)

• "MASS: MoErging through Adaptive Subspace Selection" co-auhored by Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli (3IA Postdoctoral researcher), Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà
• "AlphaSurf: On-the-Fly Surface Computations for Protein Representation Learning" co-authored by Victor Gertner, Vincent Mallet, Frederic Cazals (Learning Meaningful Representations of Life Workshop @ ICLR 2026)

2026 (Bangkok)

• "T-MOR: Learning Motion-Aware Skeleton Representations for Human Action Recognition" co-authored by Di Yang, Mahmoud Ali, Quan Kong, Gianpiero Francesca, and François Brémond

2026 (Seoul)

• "Variance-Reduced (ε,δ)−Unlearning using Forget Set Gradients" co-authored by Martin Van Waerebeke, Giovanni Neglia, Kevin Scaman, Marco Lorenzi, El-Mahdi El-Mhamdi

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)

2026 (Lyon)

• "Dual the Reasoning Double the Insight with TambI: A Self-Supervised Framework for Skeleton Action Representation" co-authored by Mahmoud Ali, Snehashis Majhi, Di Yang, Quan Kong, Gianpiero Francesca, and François Brémond

2025 (Athens)

• “Cryptarithmetic Playtime” co-authored by Arnaud Malapert, Marie Pelleau, Margaux Schmied (3IA Ph.D. student), and Davide Fissore

2026 (Vienna)

• "DenVisCoM: Dense Vision Correspondence Mamba for Efficient and Real-time Optical Flow and Stereo Estimation" co-authored by Tushar Anand, Maheswar Bora, Antitza Dantcheva, Abhijit Das
• "Learning-Based Fusion for Robust Multi-Spectral Visual Servoing" co-authored by Enrico Fiasché, Siddharth Singh Savner, Ezio Malis, Philippe Martinet

2026 (Bremen)

• "PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions", Demo track by Greta Damo (3IA Ph.D.), Stéphane Petiot (3IA Techpool Engineer), Elena Cabrio, and Serena Villata

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

2026 (Nagoya)

• TBDM: Temporal Boundary Distillation Module for Surgical Gesture Segmentation" co-authored by Ezem Sura Ekmekci (3IA Ph.D student), Sébatien Frey, Snehashis Majhi, Khodor Hamadi, Hervé Delingette, Wen Wei, Matthieu Durand, Pierre Berthet-Rayne, François Brémond, Nicholas Ayache

2026 (London)

• “Resource-Efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback” co-authored by Alix de Langlais, Benjamin Billot, Théo Aguilar Vidal, Marc-Olivier Gauci, Hervé Delingette
• “Optimized High b-Value DWI Synthesis for Prostate Cancer Detection Using ADC Fusion” co-authored by Fahym Bounazou, Francesco Boccarato, H L. Lee, Raphaele Renard Penna, Hervé Delingette

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 (Junior Professor associated with the 3IA), and Fabien Gandon
• "Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties" co-authored by Célian Ringwald (3IA Ph.D. student), 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 (3IA Ph.D. student), Francesco Galati, and Maria A. Zuluaga
• “VesselVerse: A Dataset and Collaborative Framework for Vessel Annotation” co-authored by Daniele Falcetta, Vincenzo Marciano (3IA Ph.D. student), Kaiyuan Yang, Jon Cleary, Loïc Legris, Massimiliano Domenico Rizzaro, Ioannis Pitsiorlas, Hava Chaptoukaev (3IA Ph.D. student), Benjamin Lemasson, Bjoern Menze, and Maria A. Zuluag
• "Spatial Regularisation for Improved Accuracy and Interpretability in Keypoint-Based Registration" co-authored by  Benjamin Billot, Ramya Muthukrishnan, Esra Abaci Turk, P. Ellen Grant, Nicholas Ayache, Hervé Delingette, Polina Golland

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 (Junior Professor associated with the 3IA), Fabien Gandon

2026 (Los Angeles)

• "Learning-based Sparse Signed Distance Field Super-Resolution" co-authored by Sagar Panwar, Nissim Maruani (3IA Ph.D. student Alumni), Céline Loscos, Mathieu Desbrun, Pierre Alliez

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 (3IA Ph.D. student), 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
• “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