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

• J.L. Starck
• G. Tsagkatakis
• P. Tsakalides

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

Registration form