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  Antonio A. Casilli. Digital Labor and the Inconspicuous Production of Artificial Intelligence. Ergin Bulut; Julie Chen; Rafael Grohmann; Kylie Jarrett. SAGE Handbook of Digital Labour, In press. ⟨hal-04725001⟩
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  Antonio A. Casilli, Paola Tubaro, Maxime Cornet, Clément Le Ludec, Juana Torres-Cierpe, et al.. Global Inequalities in the Production of Artificial Intelligence: A Four-Country Study on Data Work. Jack Qiu, Shinjoung Yeo, Richard Maxwell. The Handbook of Digital Labor, Wiley Blackwell, In press, ISBN10: 1119981808. ⟨hal-04742532⟩
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  Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin. Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry. NEURIPS 2024 ML4PS : Machine Learning and the Physical Sciences Workshop, Dec 2024, Vancouver, Canada. ⟨hal-04767562⟩
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  David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, et al.. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. NeurIPS 2024 : 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04762097⟩
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  Yoto Fujita, Aditya Arie Nugraha, Diego Di Carlo, Yoshiaki Bando, Mathieu Fontaine, et al.. Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising. 2024 APSIPA : Asia-Pacific Signal and Information Processing Association, Dec 2024, Macau China, China. ⟨hal-04736454⟩
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  Olivier Fercoq. Defining Lyapunov functions as the solution of a performance estimation saddle point problem. 2024. ⟨hal-04784980⟩
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  Lihu Chen, Alexandre Perez-Lebel, Fabian Suchanek, Gaël Varoquaux. Reconfidencing LLM Uncertainty from the Grouping Loss Perspective. EMNLP 2024 - Conference on Empirical Methods in Natural Language Processing, Nov 2024, Miami, United States. ⟨10.48550/arXiv.2402.04957⟩. ⟨hal-04750567⟩
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  Morgan Buisson, Brian Mcfee, Slim Essid. Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis. 25th International Society for Music Information Retrieval (ISMIR) (2024), Nov 2024, San Francisco (CA), United States. ⟨hal-04665063v2⟩
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  Antonin Gagnere, Geoffroy Peeters, Slim Essid. A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning. ISMIR 2024 : 25th International Society for Music Information Retrieval (ISMIR) Conference Onsite and Virtual, Nov 2024, San Francisco, Californ, United States. ⟨hal-04768296⟩
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  Morgan Buisson, Christopher Ick, Tom Xi, Brian McFee. Zero-Shot Structure Labeling with Audio And Language Model Embeddings. Extended Abstracts for the Late-Breaking Demo Session of the 25th International Society for Music Information Retrieval Conference (ISMIR), Nov 2024, San Francisco California, United States. ⟨hal-04764247⟩
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  Badis Hammi, Joel Hachem, Ali Rachini, Rida Khatoun. Malware detection through windows system call analysis. 9th International Conference On Mobile And Secure Services (MOBISECSERV), Nov 2024, Miami, United States. pp.7. ⟨hal-04739413⟩
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  Mélanie Gornet. The AI Act: the evolution of "trustworthy AI" from policy documents to mandatory regulation. 2024. ⟨hal-04785519⟩
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  Mélanie Gornet, Hélène Herman. A peek into European standards making for AI: between geopolitical and economic interests. 2024. ⟨hal-04784035⟩
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  Antonio A. Casilli. Il paradosso dell'IA: il lavoro nascosto per creare un futuro senza lavoro. Micromega, 2024, 6. ⟨hal-04747044⟩
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  Paraskevas Stamatiadis, Michel Olvera, Slim Essid. SALT: STANDARDIZED AUDIO EVENT LABEL TAXONOMY. DCASE, Oct 2024, Tokyo, Japan. ⟨hal-04695595⟩

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