Scheduled presentations:

• Optimal learning in Shallow AutoEncoders
  *R. Bousquet (LISN), C. Nore (LISN), D. Lucor (LISN)
• A Multi-layer POD-FFT Bridging Framework for Stable Neural Compression of Mesh-based Finite Element Data with Complex Geometry Boundaries
  P. Yu (Tsinghua University), *C. Wang (Tsinghua University), Z. You (Tsinghua University), L. Feng (MPI Magdeburg)
• Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks
  *T. Koike (Georgia Institute of Technology), P. Mohan (National Laboratory of the Rockies), M. Henry de Frahan (National Laboratory of the Rockies), E. Qian (Georgia Institute of Technology), J. Bessac (National Laboratory of the Rockies)
• Local Nonlinear Reduced-Order Models with Regression-Based Latent-Space Closure
  *S. Ares de Parga Regalado (CIMNE), R. Rossi (CIMNE), J. Hernandez Ortega (CIMNE), A. Cornejo Velazquez (CIMNE), R. Tezaur (Stanford University), C. Farhat (Stanford University)
• Interpretable Latent Dynamics via Graph Convolutional Networks
  *F. Pichi (SISSA), L. Tomada (SISSA), G. Rozza (SISSA)
• Nonlinear Performance Bounds for Reduced Order Models
  W. Cho (Telepix), K. Lee (Arizona State University), N. Park (Korea Advanced Institute of Science and Techn), D. Rim (Washington University in St. Louis), *G. Welper (University of Central Florida)