Communication dans un congrès
AO
Affichage des résultats 1 à 12 sur 536 au total
AO : 1 à 12 sur 536 au total
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Pré-publication, Document de travail
Marion Ullmo, Nabila Aghnim, Aurélien Decelle, Miguel Aragon-Calvo. Predicting large scale cosmological structure evolution with GAN-based autoencoders. 2024. ⟨hal-04525380⟩
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Pré-publication, Document de travail
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour. StaQ it! Growing neural networks for Policy Mirror Descent. 2025. ⟨hal-05118839⟩
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Communication dans un congrès
Dylan Sechet, Matthieu Kowalski, Samy Mokhtari, Bruno Torrésani. Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding. SampTA 2025 - International Conference on Sampling Theory and Applications, Jul 2025, Vienna, Austria. ⟨hal-05130740⟩
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Communication dans un congrès
Guillaume Attuel, Matthieu Kowalski. Disentangling Myth from Reality: A Plea for exploring New Avenues. QIP25 - Quantum Information and Probability: from Foundations to Engineering, Andrei Khrennikov, Jun 2025, Vaxjö, Sweden. ⟨hal-05114054v2⟩
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Article dans une revue
Gianfranco Durin, Vincenzo Maria Schimmenti, Marco Baiesi, Arianna Casiraghi, Alessandro Magni, et al.. Earthquake-like dynamics in ultrathin magnetic film. Physical Review B, 2024, 110, pp.L020405. ⟨10.1103/PhysRevB.110.L020405⟩. ⟨hal-04352576⟩
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Poster de conférence
Romain Lloria, Florent Bouchard, Sylvain Chevallier, Frédéric Pascal. Blind separation with angular criteria. Journée du labo L2S, Jun 2023, Saint-Rémy-lès-Chevreuse, France. ⟨hal-05068005⟩
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Pré-publication, Document de travail
Audrey Poinsot, Panayiotis Panayiotou, Alessandro Leite, Nicolas Chesneau, Özgür Şimşek, et al.. Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption. 2025. ⟨hal-05066031v2⟩
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Article dans une revue
Gianluca Fasano, Cristina Marras, Emilio Sanfilippo, Monica Brinzei, Mathieu Husson, et al.. Unlocking the Potential of DH+AI: Opportunities, Challenges, and Recommendations. La Lettre de l'InSHS, 2025, 4 (92), pp.48-50. ⟨hal-05052377⟩
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Pré-publication, Document de travail
Guillaume Attuel, Matthieu Kowalski. Quantum pseudo-weirdness: Disentangling myth from reality.. 2025. ⟨hal-04970178v5⟩
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Poster de conférence
Cyriaque Rousselot, Olivier Allais, Philippe Caillou, Julia Mink, Florian Yger. Assessing the Impact of Pesticide Exposure on Population Health Using Large-Scale Data Integration and Modelling. E4H Annual Forum 2024 - Engineering for Health Annual Forum, Nov 2024, Palaiseau (Ecole Polytechnique), France. ⟨hal-04991195⟩
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Pré-publication, Document de travail
Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, et al.. PETRA: Parallel End-to-end Training with Reversible Architectures. 2025. ⟨hal-04594647v2⟩