• 
  Hugo Inzirillo. Contributions to Econometric and Deep Learning Methods for Time Series Forecasting. Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2024. English. ⟨NNT : 2024IPPAG005⟩. ⟨tel-04848771⟩
• 
  Sophie Mützel, Étienne Ollion. Machine Learning and the Analysis of Culture. 2024. ⟨hal-04836601⟩
• 
  Mariannig Le Béchec, Célya Gruson-Daniel, Clémence Lascombes, Émilien Schultz. Notebook and Open science : toward more FAIR play. Journal of Data Mining and Digital Humanities, 2024, pp.[En ligne]. ⟨10.46298/jdmdh.13428⟩. ⟨hal-04549986v3⟩
• 
  Thierry Kamionka, Sandrine Spaeter-Loehrer. Avancées récentes en microéconomie appliquée. Introduction. Revue Economique, 2024, 75 (5), pp.663-668. ⟨10.3917/reco.735.0663⟩. ⟨hal-04839022⟩
• 
  Alice Lapeyre. Essays on Short-Time Work and on Firm Labor Demand. Economics and Finance. Institut Polytechnique de Paris, 2024. English. ⟨NNT : 2024IPPAG003⟩. ⟨tel-04826131⟩
• 
  Étienne Ollion, Rubing Shen, Ana Macanovic, Arnault Chatelain. The dangers of using proprietary LLMs for research. Nature Machine Intelligence, 2024, 6 (1), pp.4-5. ⟨10.1038/s42256-023-00783-6⟩. ⟨hal-04825849⟩
• 
  Julien Boelaert, Louis Casenave Dit Milhet, Sébastien Michon, Etienne Ollion, Gaston Vermersch. La fin du nouveau monde. Sur quelques fluctuations récentes du capital politique à l’Assemblée nationale. Revue Française de Science Politique, 2023, Élections françaises 2022 (III), 73 (2), pp.169-194. ⟨10.3917/rfsp.732.0169⟩. ⟨halshs-04823143⟩
• 
  Corinne Chaton, Clémence Briodeau. How much energy do we need to live decently?. 2024. ⟨hal-04817913⟩
• 
  Romain Aumond. Cyclical non-linearity, nowcasting and asset allocation. Economics and Finance. Institut Polytechnique de Paris, 2024. English. ⟨NNT : 2024IPPAG008⟩. ⟨tel-04804607⟩
• 
  Nicolas Chopin, Pierre Alquier, James Ridgway. PAC-Bayesian AUC classification and scoring. Advances in neural information processing systems, Dec 2014, Montréal, Canada. ⟨hal-04793393⟩

1 249

985

72 %