MINOAS – Machine Intelligence for iNverse imaging, Observation Analysis and Sensing Workshop
Description
Data driven methods have profoundly transformed the fields signal sensing and analysis.
- Machine learning for inverse imaging problems
- Physics-informed and hybrid AI models for inverse problems
- Data-driven priors and generative models in imaging
- Bayesian inference and uncertainty quantification in inverse problems
Call for papers and submission guidelines
Dates: 24-26 September 2025
Location: FORTH, Dougalis room
Registration form
Organizing Committee
Keynote Speakers
-
Prof. David Donoho
Professor of Humanities and Sciences Professor of Statistics Stanford University, USA -
Prof. Yves Wiaux
Head of Laboratory @BASP , Head of Institute @ISSS, Heriot-Watt University, UK -
Prof. Maria Vakalopoulou
Assistant Professor (MCF) CentraleSupelec, University Paris Saclay, leader of the biomathematics group of MICS Laboratory
Important Dates
Registration opens: 1st April 2025
Registration closes: 20th May 2025
Notification of acceptance: 20th June 2025