Monday

Session 1 (09:30-10:50)

Time Speaker Title
09:30 - 09:50 Alex Diaz Probabilistic numerics for rare event simulation
09:50 - 10:10 Nina Effenberger Wind power forecasting in the face of climate change
10:10 - 10:30 Holger Voos Combining Probabilistic Robotics and Probabilistic Numerics - A Perspective
10:30 - 10:50 Nathaël Da Costa Sample Path Regularity of Gaussian Processes

Session 2 (11:30-12:30)

Time Speaker Title
11:30 - 12:00 Yuto Miyatake Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
12:00 - 12:00 Cristian Galvis Quantum-assisted Hilbert-space Gaussian process regression

Session 3 (13:30 - 15:00)

Time Speaker Title
13:30 - 14:15 Nicholas Krämer Probabilistic Numerical Method of Lines
14:15 - 15:00 Anne Poot Probabilistic Numerics for the Finite Element Method

Session 4 (15:30 - 16:30)

Time Speaker Title
15:30 - 16:00 Takuo Matsubara TBD
16:00 - 16:30 Frederik de Ceuster Probabilistic numerics for astrophysical simulation

Tuesday

Session 1 (09:30-10:30)

Time Speaker Title
09:30 - 09:50 Jeremy Yates AIRR: AI for Research Resource - Access Routes for Developers
09:50 - 10:10 Chris Oates Probabilistic Extrapolation Methods
10:10 - 10:30 Marina Riabiz Extrapolating expectations through tempering

Session 2 (11:00-12:30)

Time Speaker Title
11:00 - 11:30 John Pearson TBD
11:30 - 12:00 Nathanael Bosch Robust Parameter Inference in ODEs via Gaussian Process Regression
12:00 - 12:30 Filip Tronarp Bayesian ODE Solvers: Exploring the Posterior via SMC

Session 3 (13:30 - 15:00)

Time Speaker Title
13:30 - 14:15 Motonobu Kanagawa Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood
14:15 - 15:00 Marvin Pförtner Computation-Aware Kalman Filtering and Smoothing

Session 4 (15:30 - 16:30)

Time Speaker Title
15:30 - 16:00 Francois-Xavier Briol Bayesian Quadrature for Parametric Expectations
16:00 - 16:30 Toni Karvonen Riemann, Farey and Kernels

Wednesday

Session 1 (09:30-10:30)

Time Speaker Title
09:30 - 09:50 Andrew Duncan Inverse Problems involving Expensive Simulations under Computational Budget Constraints
09:50 - 10:10 Disha Hegde Learning to Solve Related Linear Systems
10:10 - 10:30 Takeru Matsuda TBD

Session 2 (11:00-12:00)

Time Speaker Title
11:00 - 11:30 Marina Strocchi Cell to Whole Organ Global Sensitivity Analysis and Parameter Inference on a Four-chamber Heart Electromechanics Model Using Gaussian Processes Emulators
11:30 - 12:00 Aleksandra Svalova Gaussian Process emulation with applications in geotechical engineering