Publications



610 documents

  • Lucas Robinet, Ahmad Berjaoui, Ziad Kheil, Elizabeth Cohen-Jonathan Moyal. DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, Oct 2024, Marakech, Morocco. pp.163-173, ⟨10.1007/978-3-031-72384-1_16⟩. ⟨hal-04845950⟩
  • A. Le Duigou, M. Grabow, F. Scarpa, J. Deschamps, C. Combescure, et al.. Bioinspired 4D Printed Tubular/Helicoidal Shape Changing Metacomposites for Programmable Structural Morphing. Advanced Materials Technologies, 2024, 10 (2), ⟨10.1002/admt.202400237⟩. ⟨hal-04835060⟩
  • Afef Awadid, Boris Robert. On assessing Ml model robustness: A methodological framework. Symposium on Scaling AI Assessments Tools, Ecosystems and Business Models (SAIA), Sep 2024, Cologne, Germany. ⟨hal-04682746⟩
  • Juliette Mattioli, Dominique Tachet, Fabien Tschirhart, Henri Sohier, Loic Cantat, et al.. Leveraging Knowledge Graph to design the Machine-Learning Engineering Body-of-Knowledge. IEEE International Conference on Artificial Intelligence x Science, Engineering, and Technology (AIxSET), Sep 2024, Laguna hills, United States. ⟨hal-04706669⟩
  • Ian Costa-Alves, Nicolas Gourdain, François Gallard, Anne Gazaix. Optimal aircraft fleet and energy mix under limited availability of resources. 26th Conference of the International Society for Air Breathing Engines, International Society for Air Breathing Engines (ISABE), Sep 2024, Toulouse, France. ⟨hal-04735803⟩
  • Thomas Chambon, Fabien Gallet. A robust approach merging deep learning and unscented Kalman for vision based space rendez-vous. 2024. ⟨hal-04705106⟩
  • Thomas Louis, Alain Pegatoquet, Benoit Miramond, Adrien Girard. On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. The 33rd International Conference on Artificial Neural Networks (ICANN 2024), Sep 2024, Lugano, Switzerland. pp.407-421, ⟨10.1007/978-3-031-72359-9_30⟩. ⟨hal-04705493⟩
  • Omar Bettinotti, Stéphane Guinard, Eric Véron, Pierre Gosselet. On the implementation in Abaqus of the global–local iterative coupling and acceleration techniques. Finite Elements in Analysis and Design, 2024, 236, pp.104152. ⟨10.1016/j.finel.2024.104152⟩. ⟨hal-04522597⟩
  • Maxime Sabbah, Raphael Dumas, Zoe Pomarat, Lucas Robinet, Mohamed Adjel, et al.. Ground Reaction Forces and Moments Estimation from Embedded Insoles using Machine Learning Regression Models. IEEE RAS EMBS 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob 2024), Sep 2024, Heidelberg, Germany. ⟨hal-04557250⟩
  • El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz. The loss landscape of deep linear neural networks: a second-order analysis. Journal of Machine Learning Research, 2024, 25 (242), pp.1-76. ⟨hal-03299887v3⟩
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