• 
  Daniel Mimouni, P Malisani, J. Zhu, W. de Oliveira. Computing Wasserstein Barycenter via operator splitting: the method of averaged marginals. 2023. ⟨hal-04160009v6⟩
• 
  Sofia Simoes, Filipa Amorim, Gildas Siggini, Valentina Sessa, Yves-Marie Saint-Drenan, et al.. Climate proofing the renewable electricity deployment in Europe - Introducing climate variability in large energy systems models. Energy Strategy Reviews, 2021, 35, pp.100657. ⟨10.1016/j.esr.2021.100657⟩. ⟨hal-03279783⟩
• 
  Elisa Ndiaye, Antoine Bezat, Emmanuel Gobet, Céline Guivarch, Ying Jiao. Optimal business model adaptation plan for a company under a transition scenario. 2024. ⟨hal-04682824⟩
• 
  Amirhossein Tavakoli, Sophie Demassey, Valentina Sessa. Deep Learning for Pump Scheduling. ROADEF 2024, Mar 2024, Amiens, France. ⟨hal-04639702⟩
• 
  Amal Mtibaa. Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning. Doctoral workshop AI for The Sciences, May 2024, Paris, France. ⟨hal-04639612⟩

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