08:50 to 09:00
Symposium

Welcome Adress

Yvon Maday
Mathematical and Applied Aspects of Complexity Reduction Methods
08:50 to 09:00
    Salle 5, Site Marcelin Berthelot
    Open to all, subject to availability
    -

    Speaker(s)

    Yvon Maday

    Professor of Applied Mathematics, Sorbonne University, Jacques-Louis-Lions Laboratory, Visiting Professor at the Collège de France

    Events

    Welcome Adress
    Yvon Maday

    Symposium
    08:50 to 09:00

    Neural Network Approximations of Solutions to Schrödinger Equations
    Virginie Galland Ehrlacher

    Symposium
    09:00 to 09:45

    The Reduced Basis Method for Ground-State Eigenvalue Computations
    Benjamin Stamm

    Symposium
    09:45 to 10:30

    Collocated Reduced-Order Models for High-Order Schemes: Analysis and Appli…
    Angelo Iollo

    Symposium
    11:00 to 11:45

    Gradient Flows on Neural Network Manifolds
    Olga Mula

    Symposium
    11:45 to 12:30

    Robust Nonlinear Projection-Based Reduced-Order Models: A Comparative Asse…
    Sebastian Ares de Parga Regalado

    Symposium
    14:00 to 14:45

    From Latent Space Representations to Practical Surrogate Models for Struct…
    Jörg Fehr

    Symposium
    14:45 to 15:30

    Advances in Hybrid Modeling: Toward the Digital Transition of Regions
    Beatriz Moya

    Symposium
    16:00 to 16:45

    Reduced-Order Surrogate Models for PDE-Constrained Optimization and Invers…
    Mario Ohlberger

    Symposium
    16:45 to 17:30

    Open Discussions
    Yvon Maday

    Symposium
    17:30 to 18:30
    Not recorded

    Optimal Linear and Nonlinear Dimensionality Reduction
    Albert Cohen

    Symposium
    09:00 to 09:45

    Reduced-Order Modeling and Scientific Machine Learning: Synergies and Oppo…
    Andrea Manzoni

    Symposium
    09:45 to 10:30

    Dirac-Frenkel Dynamics with Momentum
    Benjamin Peherstorfer

    Symposium
    11:00 to 11:45

    Diffeomorphism-Based Feature Learning Using Poincaré Inequalities
    Clémentine Prieur

    Symposium
    11:45 to 12:30

    Greedy Kernel-Based Surrogates for Approximating Parametric PDEs
    Bernard Haasdonk

    Symposium
    14:00 to 14:45
    Not recorded

    Efficient Greedy Sampling for Model Order Reduction
    Evie Nielen

    Symposium
    14:45 to 15:30

    AI-Driven Complexity Reduction and Multi-Physics Digital Twins: From Theor…
    Helin Gong

    Symposium
    16:00 to 16:45

    Integrated Structural Health Monitoring with Real-time Data Assimilation a…
    Ludovic Chamoin

    Symposium
    16:45 to 17:30

    Open Discussions
    Yvon Maday

    Symposium
    17:30 to 18:30
    Not recorded

    Stable Nonlinear Manifold Approximation Using Compositional Networks…
    Anthony Nouy

    Symposium
    09:00 to 09:45

    Metric-Based Nonlinear Model Order Reduction with Applications to Quantum …
    Geneviève Dusson

    Symposium
    09:45 to 10:30

    Certified Randomized Model Order Reduction Methods for High-Dimensional Ap…
    Kathrin Smetana

    Symposium
    11:00 to 11:45

    A Doubly Reduced Approximation for the Solution to PDEs Based on Domain Tr…
    Élise Grosjean

    Symposium
    11:45 to 12:30

    Self-Supervised Machine Learning of ROM-nets for the Mechanics of Material…
    David Ryckelynck

    Symposium
    14:00 to 14:35

    Registration in Bounded Domains for Model Reduction of Parametric Conserva…
    Tommaso Taddei

    Symposium
    14:45 to 15:30

    Multifidelity Proper Orthogonal Decomposition
    Karen E. Willcox

    Symposium
    15:30 to 16:15

    See also

    Yvon Maday, chair Computer Sciences and Digital Technologies
    Mathematical and Applied Aspects of Complexity Reduction Methods