Dissertation

Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

17 Jan

Public defences of doctoral theses

Applied and Computational Mathematics - Optimization and Systems Theory

Thursday 2019-01-17, 13:00

Location: sal F3, KTH, Lindstedtsvägen 26, Stockholm

Doctoral student: Axel Ringh , Mathematics

2019-01-17T13:00:00.000+01:00 2019-01-17T13:00:00.000+01:00 Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Public defences of doctoral theses) sal F3, KTH, Lindstedtsvägen 26, Stockholm (KTH, Stockholm, Sweden)Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning (Public defences of doctoral theses)