Calendar
Thu 11 December
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Degree project
Thursday 2025-12-11, 08:30 - 09:30
Location: Cramérrummet (mötesrum 12), Albano, Hus 1, Vån 3
Respondent: Zahra Alimoradzadeh
2025-12-11T08:30:00.000+01:00 2025-12-11T09:30:00.000+01:00 Zahra Alimoradzadeh: Asymptotic Analysis and Comparison of Model-Based and Model-Free Methods for the Linear Quadratic Regulator (Degree project) Cramérrummet (mötesrum 12), Albano, Hus 1, Vån 3 (KTH, Stockholm, Sweden)Zahra Alimoradzadeh: Asymptotic Analysis and Comparison of Model-Based and Model-Free Methods for the Linear Quadratic Regulator (Degree project) -
Seminar, Differential geometry and general relativity
Thursday 2025-12-11, 10:00 - 11:00
Participating: Penelope Gehring, Stockholm University
Location: Cramér room, Roslagsvägen 26
2025-12-11T10:00:00.000+01:00 2025-12-11T11:00:00.000+01:00 Penelope Gehring: Finite propagation speed vs. non-local boundary conditions (Seminar, Differential geometry and general relativity) Cramér room, Roslagsvägen 26 (KTH, Stockholm, Sweden)Penelope Gehring: Finite propagation speed vs. non-local boundary conditions (Seminar, Differential geometry and general relativity) -
Degree project
Thursday 2025-12-11, 13:00 - 14:00
Location: Mittag-Lefflerrummet (mötesrum 16), Albano, Hus 1, Vån 3
Respondent: Andreas Karlsson
2025-12-11T13:00:00.000+01:00 2025-12-11T14:00:00.000+01:00 Andreas Karlsson: Machine Learning in Kreĭn Spaces: An Exposition to the Main Representer Theorems (Degree project) Mittag-Lefflerrummet (mötesrum 16), Albano, Hus 1, Vån 3 (KTH, Stockholm, Sweden)Andreas Karlsson: Machine Learning in Kreĭn Spaces: An Exposition to the Main Representer Theorems (Degree project) -
Public defences of doctoral theses
Mathematics
Thursday 2025-12-11, 14:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Doctoral student: Viktor Nilsson , Sannolikhetsteori, matematisk fysik och statistik
2025-12-11T14:00:00.000+01:00 2025-12-11T14:00:00.000+01:00 On large deviations in probabilistic deep learning and generative modeling (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)On large deviations in probabilistic deep learning and generative modeling (Public defences of doctoral theses)