28 – 29 March 2022

St Pancras Meeting Rooms, London, UK

Probabilistic Numerics is a scientific field at the intersection of statistics, machine learning and applied mathematics, where tasks in numerical analysis including finding numerical solutions for integration, linear algebra, optimisation and differential equations are seen as problems of statistical, probabilistic, or Bayesian inference. ProbNum 2022 continues a sequence of research gatherings on probabilistic numerics over the last ten years.

Organisers:

Chris Oates (Newcastle)
Tim Sullivan (Warwick)

Participants:

Ömer Deniz Akyıldız (ATI & Cambridge)
Nathanael Bosch (Tübingen)
François-Xavier Briol (UCL)
Peter Challenor (Exeter)
Jon Cockayne (Southampton)
Matthew Fisher (Newcastle)
Philipp Hennig (Tübingen and Max Planck Institute)
Motonobu Kanagawa (Eurecom)
Toni Karvonen (Helsinki)
Nicholas Krämer (Tübingen)
Han Cheng Lie (Potsdam)
Maren Mahsereci (Tübingen)
Takuo Matsubara (Newcastle and ATI)
Tadashi Matsumoto (Warwick)
Masha Naslidnyk (UCL)
Chris Oates (Newcastle and ATI)
Kamran Pentland (Warwick)
Marina Riabiz (KCL)
Marvin Pförtner (Tübingen)
Jonathan Schmidt (Tübingen)
Tim Sullivan (Warwick and ATI)
Filip Tronarp (Tübingen)

More information on the workshop website