AIX FORUM: INVERSE PROBLEMS

Welcome to the AIX forum, in partnership between FCAI and Finnish CoE, Inverse modelling and Imaging.

DATE AND TIME: 29.11.2023, 9:30-16:00
VENUE: Chemicum, room A127 (A.I. Virtasen aukio 1, Helsinki)

The registration for the event has closed.

PROGRAM

9.30–9.55 Coffee

9.55–10.00 Opening

10.00–10.30 Samuli Siltanen (University of Helsinki): Combining AI and classical inversion math

10.30–11.00 Arto Klami (University of Helsinki): Machine learning for inverse problems: From sensing to human mind

11.00–11.30 Matti Lassas (University of Helsinki): Mapping properties of neural networks

11.30–12.20 Lunch (at own expense)

12.20–12.40 Jaakko Lehtinen (Aalto University): Simulator-Based Self-Supervision for Learned 3D Tomography Reconstruction

12.40–13.00 Siiri Rautio (University of Helsinki): Reformulating electrical impedance tomography as virtual X-ray tomography with the help of deep learning

13.00–13.30 Tapio Helin (LUT University): Active learning in inverse problems

13.30–14.00 Joni Pajarinen (Aalto University): Reinforcement learning and planning: from observations to complex behavior

14.00–14.15 Coffee break

14.15–15.00 Panel: Classical inversion methods vs. AI

Moderated by Simo Särkkä (Aalto University)

Panelists: Samuli Siltanen (University of Helsinki), Siiri Rautio (University of Helsinki), Arto Klami (University of Helsinki), Matti Lassas (University of Helsinki) & Jaakko Lehtinen (Aalto University)

15.00–16.00 Alexander Meaney (University of Helsinki) and Markus Juvonen (University of Helsinki): Inverse problems data challenges (demo)

More information: katri.karhunen@helsinki.fi