19334717 Seminar/Proseminar

WiSe 24/25: Seminar/Proseminar: Machine Learning for Process Control

Grégoire Montavon

Kommentar

Numerous real-world processes need to be kept under control in order to ensure safety or efficiency. Machine learning models are good candidates for this. They can for example detect shifts/anomalies/decalibrations/instabilities/etc. and possibly also predict which action needs to be taken on the process. The real-time nature of such tasks brings unique challenges from a ML perspective compared to classical application of ML. This seminar will explore relevant ML methods such as online/reinforcement learning and real-time data analysis. Use cases in manufacturing and intensive care will be covered. Students will select a few papers from a pool of thematically relevant research papers, which they will read and present over the course of the semester.

Schließen

16 Termine

Regelmäßige Termine der Lehrveranstaltung

Do, 17.10.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 24.10.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 31.10.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 07.11.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 14.11.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 21.11.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 28.11.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 05.12.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 12.12.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 19.12.2024 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 09.01.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 16.01.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 23.01.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 30.01.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 06.02.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

Do, 13.02.2025 14:00 - 16:00
Seminar/Proseminar: Machine Learning for Process Control

Dozenten:
Prof. Dr.-Ing. Grégoire Montavon

Räume:
KöLu24-26/SR 006 Neuro/Mathe (Königin-Luise-Str. 24 / 26)

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