Scheduled presentations:

• Finite Element Neural Network Interpolation: - Interpretable and adaptive discretisation for solving PDEs
  *K. Skardova (École Polytechnique), A. Daby-Seesaram (École Polytechnique), M. Genet (École Polytechnique)
• GradINN: Gradient Informed Neural Network
  *F. Aglietti (Dumarey Automotive Italia S.p.A.), F. Della Santa (Politecnico di Torino), A. Piano (Politecnico di Torino), V. Aglietti (Independent Researcher)
• Student Multi-Fidelity Delayed Acceptance: Integrating Deep Learning Surrogate Modeling and Multilevel Delayed Acceptance for Efficient Bayesian Inverse Problem Solving
  *F. Zacchei (Politecnico di Milano, MOX - Department of Ma), P. Conti (Politecnico di Milano, MOX - Department of Ma), A. Frangi (Politecnico di Milano, Department of Civil an), A. Manzoni (Politecnico di Milano, MOX - Department of Ma)
• Student Reduced Particle in Cell method for the Vlasov-Poisson system using auto-encoder and Hamiltonian neural networks
  R. Côte (IRMA), E. Franck (INRIA), L. Navoret (INRIA), *G. Steimer (IRMA), V. Vigon (INRIA)
• The Application of Neural Operators to Predict Skin Evolution After Burn Trauma
  S. Husanovis (Delft University of Technology), G. Egberts (Nederlandse Brandwonden Stichting), A. Heinlein (Delft University of Technology), *F. Vermolen (University of Hasselt)
• Data-Driven Investigation of Unsteady Forces on Cylinder Resting on Smooth Wall
  *J. Harris (Ecole nationale des ponts et chaussées), K. Kuznetsov (GRASP Earth), F. Aristodemo (Università della Calabria)