Schedule

All the talks will be held in the Harvard lecture theatre (Room 4011), Building 100, Highfield campus. Registration on Day 1 will be on Level 4 of Building 100.

Please bring your laptop with a recent Python installation preloaded for the two practical sessions.

Day 1: 8th April

Time Speaker Title Slides
8:30 - 9:00 Registration
9:00 - 10:30 Philipp Hennig, with special discussion from Ilse Ipsen Foundations of Gaussian Computation Slides
10:30-11:00 Coffee break
11:00-12:30 Jonathan Wenger Probabilistic Linear Solvers Slides
12:30-13:30 Lunch break
13:30-15:30 Marvin Pförtner Practical Session
15:30-16:00 Coffee break
16:00-17:30 Jon Cockayne Probabilistic PDE Solvers Slides
17:30-20:00 Poster Session (with Pizza)

Day 2: 9th April

Time Speaker Title Slides
9:00 - 10:30 Chris Oates Black Box Probabilistic Numerics Slides
10:30-11:00 Coffee break
11:00-12:30 Filip Tronarp ODE Solvers as Bayesian State Estimation Slides
12:30-13:30 Lunch break
13:30-15:30 Nathanael Bosch Practical Session Tutorial and Solutions
15:30-16:00 Coffee break
16:00-17:30 Mark Girolami The Statistical Finite Element Method: A Theoretical Foundation for Digital Twins Slides
17:30-20:00 Social / Dinner in The Hartley Suite

Day 3: 10th April

Time Speaker Title Slides
9:00 - 9:45 Motonobu Kanagawa Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood Slides
9:45 - 10:30 Han Cheng Lie Revisiting randomised time integration for differential equations Slides
10:30-11:00 Coffee break
11:00-11:45 Disha Hegde Learning to Solve Related Linear Systems
11:45-12:30 Katherina Ott Bayesian Numerical Integration with Neural Networks Slides
12:30-13:30 Lunch break
13:30-14:15 Frederik De Ceuster Probabilistic Numerics in Astronomy & Astrophysics Slides
14:15-15:00 Paz Fink Shustin Scalable Gaussian Process Regression with Gauss-Legendre Features Slides
15:00-15:15 Closing Remarks