SNIPS 2025 – Stochastic Numerics and Inverse Problems in Sweden 2025

Join us from August 25 to 29 at Linnaeus University in Växjö for SNIPS 2025, a workshop dedicated to exploring stochastic numerics and inverse problems. The event will bring together researchers from diverse fields to discuss advances in areas like numerics for stochastic differential equations, Monte Carlo methods, stochastic optimization, filtering and parameter estimation.

Group photo

SNIPS 2025 builds on the success of the One World Stochastic Numerics and Inverse Problems (OWSNIP) online seminar series, creating an in-person forum for the community to share knowledge and strengthen collaborations. The workshop offers a variety of ways to engage and exchange ideas include plenary talks, mini-symposia, and opportunities for contributed talks.

Important notice regarding travel

The trains from Copenhagen Airport to Växjö on Sunday, August 24, take 1.5-2 times longer than normal and require 2 changes of trains. Since the conference will start just after lunch on Monday, August 25, we recommend that you take a morning train on Monday instead.

Programme

The workshop starts at 13:00 on August 25 and concludes at 12:00 on August 29.

The registration is just outside Södra M1083 (where the plenary talks will be) in the M building.

Plenary Talks

On some structure preserving schemes for SPDEs
Charles-Edouard Bréhier, University of Pau and the Adour Region, France

Hierarchical Methods for Risk Assessment
Abdul-Lateef Haji-Ali, Heriot-Watt University, United Kingdom

Numerical methods for the SPDE approach in space-time
Kristin Kirchner, TU Delft, The Netherlands

UQ & SOC: Navigating Complexity in Forecasting and Decision-Making
Raul Tempone, RWTH-Aachen and KAUST, Germany and Saudi Arabia

Optimization under Noise: What We’ve Learned from Stochastic Gradient Descent
Alp Yurtsever, Umeå University, Sweden

Invited Mini-Symposia

Numerics and applications for S(P)DEs
Organized by Chengcheng Ling, University of Augsburg, Germany

Hierarchical Monte Carlo and quasi-Monte Carlo methods for uncertainty quantification
Organized by Arved Bartuska (KAUST, Saudi Arabia), Shyam Subbiah Pillai (RWTH Aachen, Germany) and Yang Liu (KAUST)

Machine learning in stochastic systems
Organized by Filip Tronarp, Lund University, Sweden

Organization

Scientific Committee:

Gabriel Lord, Radboud University, Netherlands
Annika Lang, Chalmers & University of Gothenburg, Sweden
Randolf Altmeyer, Imperial College London, United Kingdom
Konstantinos Zygalakis, University of Edinburgh, United Kingdom

Local Organizers:

Andreas Petersson, Linnaeus University
Monika Eisenmann, Lund University

Financial support

We are grateful for financial support from eSSENCE and LNU Strategic Funds for Organizing International Research Conferences at Linnaeus University 2025.

A sustainable event

This conference is a sustainability-assured meeting in accordance with Linnaeus University’s guidelines for sustainable events. These guidelines are linked to the 17 global goals in Agenda 2030 and comprise the three dimensions of sustainable development: the economic, the social, and the environmental.

Learn more about Linnaeus University's sustainable events here.