Scheduled presentations:

• Keynote On solving/learning nonlinear PDEs with GPs
  H. Owhadi*
• Scalable Neural Wavefunctions for Quantum Monte Carlo
  J. Richter Powell*
• Resolution Invariant Generative Models for Functional Data
  J. Seidman*, G. Kissas, G. Pappas, P. Perdikaris
• Competitive Physics-Informed Networks
  Q. Zeng, Y. Kothari, S. Bryngelson, F. Schaefer*
• Scientific machine learning models for cardiovascular computational medicine
  S. Pagani*, F. Regazzoni, L. Dede', A. Quarteroni
• Combining data and models to enable surrogate-based automatic discovery of engineering solutions.
  R. Pestourie*