Scheduled presentations:

• Space-Time Goal Oriented Error Estimation and Adaptivity for Discretization and Reduced Order Modeling Errors
  J. Roth*, H. Fischer, J. Thiele, U. Köcher, A. Fau, L. Chamoin, T. Wick
• Generation of Massive Databases for Deep Learning Inversion: A Goal-Oriented $hp$-Adaptive Strategy
  J. Alvarez-Aramberri, V. Darrigrand, F. Caro*, D. Pardo
• Elliptic reconstruction and a posteriori error estimates for the parabolic partial differential equations with small random input data
  N. Shravani, M. Reddy*
• A posteriori error estimates for the Crank-Nicolson method: application to parabolic partial differential equations with small random input data
  S. Nakidi*, M. Reddy, M. Vynnycky
• Error control and propagation in Adaptive Mesh Refinement applied to elliptic equations on quadtree/octree grids
  L. Prouvost*, A. Belme, D. Fuster
• Multiscale Finite Element approaches: error estimations and adaptivity for an enriched variant
  F. Legoll*