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2025
Intuitive Robot Programming, C. Blanc, Julius Jankowski, A. Sonderegger, Sylvain Calinon and S. Dégallier Rochat, in: Ergonomics in Robotics: Advances and Innovations, Springer, 2025
Identifying Privacy Personas, Olena Hrynenko and Andrea Cavallaro, in: Proceedings on Privacy Enhancing Technologies, 2025
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2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, Andre Freitas and Leonardo Ranaldi, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Aligning Large and Small Language Models via Chain-of-Thought Reasoning, Leonardo Ranaldi and Andre Freitas, in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
SDFR: Synthetic Data for Face Recognition Competition, Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George, Alexander Unnervik and Sébastien Marcel, in: IEEE FG 2024 : 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Heterogeneous Face Recognition with Prepended Domain Transformers, Anjith George and Sébastien Marcel, in: Face Recognition Across the Imaging Spectrum, Springer, 2024
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Analysing the potential of open hotel review databases for IEQ assessment: A text mining approach, Giulia Lamberti, Roberto Boghetti, Fabio Fantozzi, Francesco Leccese and Giacomo Salvadori, in: Analysing the potential of open hotel review databases for IEQ assessment: A text mining approach:1-19, 2024
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A Minimum-Jerk Approach to Handle Singularities in Virtual Fixtures, G. Braglia, Sylvain Calinon and L. Biagiotti, in: IEEE Robotics and Automation Letters (RA-L), 9(11):10256-10263, 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy, François Marelli and Michael Liebling, in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pages 1--4, 2024
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Parametric point spread function estimation for thermal imaging systems using easy-to-manufacture random pattern targets, Florian Piras, Edouard De Moura Presa, Peter Wellig and Michael Liebling, in: Target and Background Signatures X: Traditional Methods and Artificial Intelligence, pages 1319905-(1-9), SPIE, 2024
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Are there identifiable structural parts in the sentence embedding whole?, Vivi Nastase and Paola Merlo, in: Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2024
Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification, Vivi Nastase and Paola Merlo, in: Proceedings of the 9th Workshop on Representation Learning for NLP, 2024
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BLM-It - Blackbird Language Matrices for Italian: A CALAMITA Challenge, Chunyang Jiang, Giuseppe Samo, Vivi Nastase and Paola Merlo, in: Proceedings of the 10th Italian Conference on Computational Linguistics, 2024
Can We Learn to Select the Right Algorithm for OOD Generalization?, Liangze Jiang and Damien Teney, in: Out Of Distribution Generalization in Computer Vision, Workshop at ECCV, 2024
Neural Redshift: Random Networks are not Random Functions, Damien Teney, Armand Mihai Nicolicioiu, Valentin Hartmann and Ehsan Abbasnejad, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities, Hatef Otroshi Shahreza and Sébastien Marcel, in: NeurIPS Workshop on New Frontiers in Adversarial Machine Learning, 2024
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A Stochastic Approach to Contact-rich Manipulation, Julius Jankowski, Ecole Polytechnique Fédérale de Lausanne, 2024
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Robot Learning using Tensor Networks, Suhan Shetty, Ecole Polytechnique Fédérale de Lausanne, 2024
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Annotator-centric Active Learning for Subjective NLP Tasks, Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah and Enrico Liscio, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2024
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction, Andrei Catalin Coman, Christos Theodoropoulos, Marie-Francine Moens and James Henderson, in: Proceedings of the 3rd Workshop on Knowledge Augmented Methods for NLP, Association for Computational Linguistics, 2024
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Hardware-effective Approaches for Skill Extraction in Job Offers and Resumes, Laura Vásquez-Rodríguez, Bertrand Audrin, Samuel Michel, Samuele Galli, Julneth Rogenhofer, Jacopo Negro Cusa and Lonneke van der Plas, in: The 4th Workshop on Recommender Systems for Human Resources, in conjunction with the 18th ACM Conference on Recommender Systems, 2024
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TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASR, Shashi Kumar, Srikanth Madikeri, Juan Zuluaga-Gomez, Iuliia Thorbecke, Esaú Villatoro-Tello, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S and Aravind Ganapathiraju, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 20988–20995, Association for Computational Linguistics (ACL), 2024
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Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction, Sergio Burdisso, Srikanth Madikeri and Petr Motlicek, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, Florida, USA, pages 5421–5440, Association for Computational Linguistics, 2024
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DiffuCOMET: Contextual Commonsense Knowledge Diffusion, Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji and Antoine Bosselut, in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Bangkok, Thailand, pages 4809–4831, Association for Computational Linguistics, 2024
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