Scheduled presentations:

• Multilevel Training and Preconditioning for Kolmogorov-Arnold Networks
  *G. Harper (Sandia National Laboratories), J. Actor (Sandia National Laboratories), E. Cyr (Sandia National Laboratories), B. Southworth (Los Alamos National Laboratories)
• Multi-Level Patch Diffusion Models
  *S. Jiang (Sandia National Labs), E. Cyr (Sandia National Labs), G. Zhang (Oak Ridge National Labs), Z. Zhang (Auburn University), A. Heinlein (Delft University of Technology)
• A multilevel proximal trust-region method for nonsmooth optimization with applications
  R. Baraldi (Sandia National Laboratories), M. Hintermüller (WIAS), *Q. Wang (WIAS)
• Multilevel Training of Convolutional Kolmogorov-Arnold Networks via Nested Spline Refinement
  *D. McBride (Los Alamos National Laboratory)
• Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
  *F. Songia (INRIA), R. Salle de Chou (INRIA), H. Talbot (CentraleSupelec, Universite Paris-Saclay), I. Vignon-Clementel (INRIA)
• Majorization Minimization for Neural Network Training
  R. Baraldi (Sandia National Laboratories), *A. Javeed (Sandia National Laboratories), D. Kouri (Sandia National Laboratories)