Program

The program is available below:

Tuesday July 23rd, 2024

Lunch: 13:00–14:00

15:00–15:30: Sahani Pathiraja, High dimensional filtering

15:30–16:00: Jack Maclean, Automatic Gaussian mixture models

Afternoon tea: 16:00–16:30

16:30-17:00: Alec Gilbert, Quasi-Monte Carlo methods for approximating densities in uncertainty quantification

18:30-20:30: Dinner

 

Wednesday July 24th, 2024

Breakfast: 8:00-9:30

9:30–10:00: Monique Chyba, Controlled Hybrid Systems

10:00–10:30: Sumeetpal Singh, On the forgetting of the particle filter

Morning tea: 10:30–11:30

11:30-12:00: Jason Frank, Poisson discretization of the Burgers equation

Lunch: 12:30–13:30

Break for free discussions and collaborations 13:30–16:00

Afternoon tea: 16:00–16:25

Group picture: 16:25

16:30–17:00: Ramona Häberli, Avoiding order reduction for splitting methods in the context of non-periodic boundary conditions

17:00–17:30: Eugen Bronasco, Using exotic aromatic forests to construct order two scheme for the invariant measure sampling of Langevin dynamics with variable diffusion

17:30–18:00: Gilles Vilmart, Langevin dynamics with fast perturbation driven by Stratonovich noise for enhancing probability measure sampling

Dinner: 18:30-19:30

Stargazing: 19:30

 

Thursday July 25th, 2024

Breakfast: 8:00–9:30

9:30–10:00: Gabriel Lord, Numerics and low dimensional dynamics for SPDEs

10:00–10:30: Quanling Deng, Sea ice multiscale modeling and data assimilation

Morning tea: 10:30–11:30

11:30–12:00: Dave Lee, Thermodynamic consistency and structure preservation in atmospheric models

Lunch: 12:30–13:30

Break for free discussions and collaborations: 13:30–16:00

Afternoon tea: 16:00–16:30

16:30–17:00: Aimee Maurais, Dynamic kernel transport for sampling in high dimensions

17:00–17:30: James Nichols, An entropic Frank-Wolfe method

17:30–18:00: Fred Roosta, Computational challenges with neural tangent kernel

Dinner: 18:30-20:30

 

Friday July 26th, 2024

Breakfast: 8:00–9:30

9:30–10:00: Pinak Mandal, From Random to Reliable: Using Good Sampling to Tame Random Features in ML

10:00–10:30: Georg Gottwald, Some thoughts on generative modelling

Morning tea: 10:30–11:30

11:30-12:30: Final discussion

Lunch: 12:30–13:30