Calendar
Mon 01 April - Tue 31 December
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Public defences of doctoral theses
Computer Science
Tuesday 2024-04-09, 09:00
Location: F3 (Flodis) Lindstedtsvägen 26
Video link: https://kth-se.zoom.us/j/61437033234?pwd=dnBpMnYyaDVWWC95RHNTakNXWkNRQT09
Doctoral student: Giovanni Luca Marchetti , Robotik, perception och lärande, RPL, Centrum för autonoma system, CAS
2024-04-09T09:00:00.000+02:00 2024-04-09T09:00:00.000+02:00 On Symmetries and Metrics in Geometric Inference (Public defences of doctoral theses) F3 (Flodis) Lindstedtsvägen 26 (KTH, Stockholm, Sweden)On Symmetries and Metrics in Geometric Inference (Public defences of doctoral theses) -
Seminars and lectures
Wednesday 2024-04-24, 09:00 - 12:00
Participating: Hosts: Yuchong Zhang, Miguel Vasco
Location: Online
Video link: https://kth-se.zoom.us/j/65286291980
2024-04-24T09:00:00.000+02:00 2024-04-24T12:00:00.000+02:00 ELSA Webinar: Privacy-Preserving Robot Learning in Human-centric Environments (Seminars and lectures) Online (KTH, Stockholm, Sweden)ELSA Webinar: Privacy-Preserving Robot Learning in Human-centric Environments (Seminars and lectures) -
Public defences of doctoral theses
Computer Science
Monday 2024-06-03, 09:00
Location: F3 (Flodis), Lindstedsvägen 26 & 28
Doctoral student: Erik Englesson , Robotik, perception och lärande, RPL
2024-06-03T09:00:00.000+02:00 2024-06-03T09:00:00.000+02:00 On Label Noise in Image Classification (Public defences of doctoral theses) F3 (Flodis), Lindstedsvägen 26 & 28 (KTH, Stockholm, Sweden)On Label Noise in Image Classification (Public defences of doctoral theses) -
Public defences of doctoral theses
Computer Science
Wednesday 2024-06-05, 14:00
Location: E3, Osquars backe 14, Stockholm
Video link: https://kth-se.zoom.us/j/62947919928
Doctoral student: Yiping Xie , Robotik, perception och lärande, RPL
2024-06-05T14:00:00.000+02:00 2024-06-05T14:00:00.000+02:00 Bathymetric Surveying Through Neural Inverse Sonar Modeling (Public defences of doctoral theses) E3, Osquars backe 14, Stockholm (KTH, Stockholm, Sweden)Bathymetric Surveying Through Neural Inverse Sonar Modeling (Public defences of doctoral theses)