About

The ELLIS Workshop on Probabilistic Numerics and Physics-Informed Learning is taking place in Helsinki, Finland, on June 28th 2024. The venue is co-located with the ELISE Wrap Up Conference & ELLIS Community Event organized by Aalto University. This workshop is part of the ELISE program for Theory, Algorithms and Computations of Modern Learning Systems.

Registration

• ELLIS-members can register for the whole ELISE Wrap Up Conference, including our workshop, here. 

• Non-ELLIS researchers interested in the workshop are welcome to register free of cost here. Note that this registration is only valid for this workshop and not the whole ELISE event.

Schedule

08:30 - 09:00 Arrival and coffee 

09:00 - 09:30 Probabilistic Numerical Method of Lines by Nicholas Krämer (DTU)

09:30 - 10:00 Scaling up Probabilistic PDE Simulators with Structured Volumetric Information by Tim Weiland (Tübingen)

10:00 - 10:30 Physics-Informed Learning for Weather and Climate by Yogesh Verma (Aalto)

10:30 - 11:00 Coffee break

11:00 - 11:30 KiNet: Neural Kinetic Dynamics by Zebang Shen (ETH)

11:30 - 12:00 Tractable Bayesian Dynamics Models from Differentiable Physics for Learning and Control by Joe Watson (TU-Da)

12:00 - 12:30 Improving Training of Physics-Informed Neural Networks by Katsiaryna Haitsiukevich (Aalto)

12:30 - 13:30 Lunch break

13:30 - 14:00 Robust Bayesian Optimization with Unknown Hyperparameters by Juliusz Ziomek (Oxford)

14:00 - 14:30 Simulation-Based Inference via Neural Approximation of Approximate Bayesian Computation by Boris Belousov (DFKI)

14:30 - 15:00 Nesting Particle Filters for Experimental Design in Dynamical Systems by Sahel Iqbal (Aalto)

15:00 Wrap-up

Organizers

Hany Abdulsamad, Aalto University [Contact: hany.abdulsamad (at) aalto (dot) fi].

Simo Särkkä, Aalto University.

Arno Solin, Aalto University.