Calendar

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Upcoming calendar events:

• Roberto Pirisi: An arithmetic theory of characteristic classes for moduli problems

  16 Jan

  Seminar, Algebra & Geometry

  Wednesday 2019-01-16, 13:15 - 15:00

  Participating: Roberto Pirisi (KTH)

  Location: Room 3418, KTH

  2019-01-16T13:15:00.000+01:00 2019-01-16T15:00:00.000+01:00 Roberto Pirisi: An arithmetic theory of characteristic classes for moduli problems (Seminar, Algebra & Geometry) Room 3418, KTH (KTH, Stockholm, Sweden)Roberto Pirisi: An arithmetic theory of characteristic classes for moduli problems (Seminar, Algebra & Geometry)

• Simon Griffith: Moderate deviation probabilities for subgraphs and other discrete structures

  16 Jan

  Seminar, Mathematical statistics

  Wednesday 2019-01-16, 15:15 - 16:15

  Participating: Simon Griffith

  Location: Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University 

  2019-01-16T15:15:00.000+01:00 2019-01-16T16:15:00.000+01:00 Simon Griffith: Moderate deviation probabilities for subgraphs and other discrete structures (Seminar, Mathematical statistics) Room 306, House 6, Kräftriket, Department of Mathematics, Stockholm University  (KTH, Stockholm, Sweden)Simon Griffith: Moderate deviation probabilities for subgraphs and other discrete structures (Seminar, Mathematical statistics)

• 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)