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curriculum [2025/10/29 15:06] director-llgacurriculum [2026/09/09 07:51] (current) – [Period 2] director-llga
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   * Topological Data Analysis (CSC_51056_EP, Steve Oudot, EP & Inria)   * Topological Data Analysis (CSC_51056_EP, Steve Oudot, EP & Inria)
   * Digital Representation and Analysis of Shapes (CSC_51074_EP, Mathieu Desbru and Pooran Memari, EP & Inria)   * Digital Representation and Analysis of Shapes (CSC_51074_EP, Mathieu Desbru and Pooran Memari, EP & Inria)
-  * Probability Theory for ML: Applications to Monte Carlo Methods and Generative Models (APM_51056_EP, Alain Durmus, EP) 
   * DataBase Management System (CSC_51053_EP, Loana Manolescu, Inria)   * DataBase Management System (CSC_51053_EP, Loana Manolescu, Inria)
-  * Statistical Learning Theory (APM_51059_EP, Karim Lounici, EP) 
  
 + Mandatory non-scientific courses: + Mandatory non-scientific courses:
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 1 course among: 1 course among:
   * Multimodal Generative AI (Recommended option, CSC_52002_EP, Vicky Kalogeiton, EP)   * Multimodal Generative AI (Recommended option, CSC_52002_EP, Vicky Kalogeiton, EP)
-  * Statistics in Action (Recommended option, APM_52066_EP, Zacharie Naulet, EP & INRAE) 
   * Deep Learning (Recommended option, APM_52183_EP, Kevin Scaman)   * Deep Learning (Recommended option, APM_52183_EP, Kevin Scaman)
   * Computational Optimal Transport for ML and Fairness (Recommended option, Rémi Flamary, EP)   * Computational Optimal Transport for ML and Fairness (Recommended option, Rémi Flamary, EP)
curriculum.1761750371.txt.gz · Last modified: 2025/10/29 15:06 by director-llga

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