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SNIP Spring 2026 Jan 14 - April 15

Stochastic Numerics and Inverse Problems (SNIP)

For the Spring 2026 term, seminars were held from 2-3pm (Ireland time) on alternating Wednesday's from January 14 - April 15.

When available, full details of each seminar including the abstract and a video of the talk can be accessed by clicking the "More" button below.

Date Title Description More info
14 Jan 2026 Charles-Edouard Bréhier, Université de Pau et des Pays de l'Adour. Numerical approximation of invariant distributions for SPDEs /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-1-stochastica-launch.html
28 Jan 2026 Ana Djurdjevac, University of Oxford. The Dean–Kawasaki Equation: Analysis, Numerics, and Applications /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-2.html
11 Feb 2026 Annika Lang, Chalmers University of Technology & University of Gothenburg. Random fields and stochastic partial differential equations on hypersurfaces /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-3.html
25 Feb 2026 Sonja Cox, University of Amsterdam. Universal approximation theorems for functions of infinite-dimensional paths /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-4.html
11 Mar 2026 Jasper van Wezel, University of Amsterdam. The stochastic evolution of quantum measurement /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-5.html
25 Mar 2026 Mikhail Tretyakov, University of Nottingham. Switching diffusions for sampling from mixture distributions /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-6.html
8 Apr 2026 Benjamin Gess, Technische Universität Berlin & Max Planck Institute for Mathematics in the Sciences. Cancelled. https://www.bgess.de
15 Apr 2026 Randolf Altmeyer, Imperial College London. Parameter estimation for Matérn random fields from local measurements /en/stochastica/virtualseminarseries/snipspring2026jan14-april15/seminar-8.html

STOCHASTICA

CA24104 - Stochastic Differential Equations: Computation, Inference, Applications

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