MAC-MIGS-Amsterdam/Utrecht Workshop on Scientific Computation, Statistics and PDEs

Wanneer
4 september 2024 van 09:00 tot 6 september 2024 17:00 CEST (GMT+0200)
Waar
CWI, room L016
Web
Toevoegen

The aim of the “Edinburgh-Amsterdam/Utrecht Workshop on Scientific Computation, Statistics, and PDEs” is to facilitate collaboration between PhD students and research groups at University of Utrecht, CWI in Amsterdam and the University of Edinburgh and Heriot-Watt University. The workshop will offer an opportunity for PhD students, postdocs and academics from Edinburgh, Amsterdam and Utrecht to learn about a wide spectrum of research topics covered by the four institutions in the broad area of applied, computational and statistical mathematics and to foster new collaborations. The focus of the workshop lies within the scope of MAC-MIGS (Edinburgh based Centre for Doctoral Training) and will cover a wide range of topics, e.g. mathematical modelling, scientific computing, machine learning, PDE analysis, uncertainty quantification, numerical analysis, etc.

This link refers to the first part of the workshop that took place in Edinburgh, 1-3 May 2024.

Event Information

The workshop will take place at the Centrum Wiskunde & Informatica, Science Park, Amsterdam. The venue is easy to reach by public transport. A nearby hotel that we often recommend is the Casa Hotel, but Amsterdam offers plenty of other options as well within reasonable travel distance by public transport (or bike).

Registration is free of charge and includes dinner, drinks and dinner on Thursday. Please use this form to register and indicate if you want to contribute a talk.

Wednesday September 4th
12:00 – 13:15 Lunch
13:15 – 13:45 Ezgi Demircan (CWI) - Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
13:45 – 14:15 Marcello Peyrera (Heriot-Watt University) - TBA
14:15 – 14:45 Nikolaj Mucke (CWI) - Latent Space Particle Filtering for Real-Time Data Assimilation with Uncertainty Quantification
14:45 – 15:15 Coffee break
15:15 – 17:00 Talks (6x 15 mins)
* Alex Richardson - Learning spatio-temporal patterning from human stem cell experiments
* Elliot Addy - Gaussian Process Emulation in High Dimensions with Sparse Grid
*
Lucas Beerens - Deceptive Diffusion: Generating Synthetic Adversarial Example
*
Razvan-Andrei Lascu - Mirror descent-ascent for mean-field min-max games
*
Balint Negyesi - TBA
17:00 – 18:00 Drinks

Thursday September 5th
10:00 – 12:00 Talks (6 x 15 mins)
* Anastasia Istratuca - Multilevel Monte Carlo Methods for Chaotic Dynamical Systems
*
Billy Sumners - The Triplet Condition in Martensitic Phase Transformations
*
Sofie Verhees - Modelling and simulation of intracellular signaling pathways
*
Bernhard Heinzelreiter - Preconditioners for Instationary Fluid Flow Control Problems
*
Rik Hoekstra - Reduced Subgrid-Scale Terms for Turbulence Modelling
12:00 – 13:30 Lunch
13:30 – 14:00 Daniel Paulin (U. of Edinburgh) - Scalable Bayesian Inference and UQ in machine learning
14:00 – 14:30 Paul Zegeling (UU) - Doubling-splitting for fractional PDEs
14:30 – 15:00 Marcello Carioni (U. Twente) - Sparsity for dynamic inverse problems with Optimal Transport regularization
15:00 – 15:30 Coffee break
15:30 – 17:00  Alexander Skorikov - PyTorch beyond deep learning: accelerated numerics, automatic differentiation and inverse problems
18:00 – 20:00  Dinner @ Polder restaurant (Science Park 201)

Friday September 6th
10:00 – 10:30 Jason Frank (UU) - Learning Hamiltonian dynamics
10:30 – 11:00 Ben Leimkuhler (U. of Edinburgh) - Adaptive hyperparameters for Langevin sampling
11:00 – 11:30 Chen Xuan (Utrecht University) - Math modeling of a photo induced hydrogel swimming robot: nonsmooth forcing dynamics
11:30 – 12:00 Closing and discussion on way forward
12:00 – 13:00 Lunch