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Références bibliographiques
112
Dépôts avec texte intégral
371
Twitter @LisnLab
LAst publications
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Audrey Poinsot, Alessandro Leite, Nicolas Chesneau, Michele Sebag, Marc Schoenauer. Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges. IJCAI 2024 - Thirty-Third International Joint Conference on Artificial Intelligence, Aug 2024, Jeju, South Korea. pp.8207-8215, ⟨10.24963/ijcai.2024/907⟩. ⟨hal-04706985⟩
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Jean-Baptiste Malagnoux, Matthieu Kowalski. From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients. ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Séoul, South Korea. pp.5530-5534, ⟨10.1109/ICASSP48485.2024.10447466⟩. ⟨hal-04608586⟩
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Emmanuel Goutierre, Christelle Bruni, Johanne Cohen, Hayg Guler, Michèle Sebag. Physics-aware modelling of an accelerated particle cloud. MLPS 2023 - Machine Learning and the Physical Sciences Workshop 23023 - At the 37th conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States. ⟨hal-04396175⟩
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Bruno Aristimunha, Raphael Yokoingawa de Camargo, Sylvain Chevallier, Adam G. Thomas, Oeslle Lucena, et al.. Synthetic Sleep EEG Signal Generation using Latent Diffusion Models. DGM4H 2023 - 1st Workshop on Deep Generative Models for Health at NeurIPS 2023, Dec 2023, New orleans, United States. ⟨hal-04350867⟩