Scheduled presentations:

• Coarse approximation of heterogeneous materials: an inverse problem perspective
  *F. Legoll (ENPC and Inria)
• A PGD-based reduced order approximation for nonlinear parametric identification using the modified constitutive relation error method and modified Kalman filtering
  *M. Bhattacharyya (LMPS, ENS Paris-Saclay), L. Chamoin (LMPS, ENS Paris-Saclay)
• Optimal filtering for manifolds
  *G. Le Ruz (Sorbonne Université), P. Moireau (École Polytechnique), D. Lombardi (INRIA Paris)
• State, Parameter and Bias recovery : A Bias-aware Kalman Filter - BKF
  *S. MASSALA (CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS), M. Ciamarra (NTU Singapore), L. Chamoin (CentraleSupélec, ENS Paris-Saclay, CNRS, LMPS)
• High-dimensional Parameter Identification with Physics-Informed Machine Learning for Flood Prediction
  *H. Boulenc (Institut de Mathématiques de Toulouse (IMT)), R. Bouclier (Institut Clément Ader (ICA)), P. Garambois (INRAE / UMR RECOVER), J. Monnier (Institut de Mathématiques de Toulouse (IMT))
• Adaptive damage model identification in sequential data assimilation with distributed optic fiber sensing
  *L. Chamoin (ENS Paris-Saclay, LMPS), S. Farahbakhsh (ENS Paris-Saclay, LMPS), M. Poncelet (ENS Paris-Saclay, LMPS)