Participants

• Eugen Bronasco (University of Geneva)
  Using exotic aromatic forests to construct order two scheme for the invariant measure sampling of Langevin dynamics with variable diffusion
• Monique Chyba (University of Hawaii)
  Controlled Hybrid Systems
• Quanling Deng (Australian National University)
  Sea Ice Multiscale Modeling and Data Assimilation
• Jason Frank (Utrecht University)
  Poisson discretization of the Burgers equation
• Alexander Gilbert (University of New South Wales)
  Quasi-Monte Carlo methods for approximating densities in uncertainty quantification
• Georg Gottwald (University of Sydney)
  Some thoughts on generative modelling
• Ramona Häberli (University of Geneva)
  Avoiding order reduction for splitting methods in the context of non-periodic boundary conditions
• David Lee (Bureau of Meteorology, Melbourne)
  Thermodynamic consistency and structure preservation in atmospheric models
• Gabriel Lord (Radboud University)
  Numerics and low dimensional dynamics for SPDEs
• John MacLean (University of Adelaide)
  Automatic Gaussian Mixture Models
• Pinak Mandal (University of Sydney)
  From Random to Reliable: Using Good Sampling to Tame Random Features in ML
• Aimee Maurais (Massachusetts Institute of Technology)
  Dynamic kernel transport for sampling in high dimensions
• James Nicholl (Australian National University)
  An entropic Frank-Wolfe method
• Sahani Pathiraja (University of New South Wales)
  High dimensional filtering
• Fred Roosta (University of Queensland)
  Computational challenges with neural tangent kernel
• Sumeetpal Singh (University of Wollongong) On the forgetting of the particle filter
• Gilles Vilmart (University of Geneva)
  Langevin dynamics with fast perturbation driven by Stratonovich noise for enhancing probability measure sampling