Kalender (se också engelsk version)

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation

  8 okt

  Disputationer

  Datalogi

  tisdag 2024-10-08, 13.00

  Plats: Ka-Sal A (Östen Mäkitalo), Kistagången 16, Kista

  Videolänk: https://kth-se.zoom.us/j/66561560361

  Respondent: Viktor Palmkvist , Programvaruteknik och datorsystem, SCS

  2024-10-08T13:00:00.000+02:00 2024-10-08T13:00:00.000+02:00 Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation (Disputationer) Ka-Sal A (Östen Mäkitalo), Kistagången 16, Kista (KTH, Stockholm, Sweden)Abstraction, Composition, and Resolvable Ambiguity in Programming Language Implementation (Disputationer)

• Automated Optimizations for Inference in Probabilistic Programming Languages

  14 okt

  Licentiatseminarier

  Datalogi

  måndag 2024-10-14, 13.00

  Plats: Room Ada, Electrum, Kistagangen 16

  Videolänk: https://kth-se.zoom.us/j/66846620144

  Licentiand: Gizem Çaylak , Programvaruteknik och datorsystem, SCS

  2024-10-14T13:00:00.000+02:00 2024-10-14T13:00:00.000+02:00 Automated Optimizations for Inference in Probabilistic Programming Languages (Licentiatseminarier) Room Ada, Electrum, Kistagangen 16 (KTH, Stockholm, Sweden)Automated Optimizations for Inference in Probabilistic Programming Languages (Licentiatseminarier)

• Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data

  21 okt

  Disputationer

  Datalogi

  måndag 2024-10-21, 09.00

  Plats: Sal C, Electrum, Kistagången 16

  Videolänk: https://kth-se.zoom.us/s/63322131109

  Respondent: Tianze Wang , Programvaruteknik och datorsystem, SCS

  2024-10-21T09:00:00.000+02:00 2024-10-21T09:00:00.000+02:00 Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer) Sal C, Electrum, Kistagången 16 (KTH, Stockholm, Sweden)Representation Learning and Parallelization for Machine Learning Applications with Graph, Tabular, and Time-Series Data (Disputationer)