Course catalog

19331611

WiSe 22/23: Seminar: Information theoretical principles of ML

Gerhard Wunder

Comments

Recently, artificial intelligence and machine learning (AI/ML) has emerged as a valuable tool in the field of communication and signal processing. It is therefore natural to extend the investigations to the field of physical layer security and privacy. This field is still in its infancy with some very preliminary results on wiretap channel code design, feature extraction of wireless channels and a growing part of contributions to privacy-preserving, distributed AI/ML. This seminar will teach the latest advances and synergies between the broad fields of AI/ML and secure communications.

Keywords: ML overview, basic tools, universal approximation, deep learning, stochastic gradient, acceleration strategies, deep convolutional networks, feature extraction, classification, mutual information neural network estimation, structured sparsity in convolutional neural networks, matrix decompositions

close

16 Class schedule

Regular appointments

Fri, 12:00 - 14:00 Seminar: Informationstheoretische Grundlagen von ML 16 Class schedule

Fri, 2022-10-21 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-10-28 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-11-04 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-11-11 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-11-18 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-11-25 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-12-02 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-12-09 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2022-12-16 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-01-06 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-01-13 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-01-20 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-01-27 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-02-03 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-02-10 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Fri, 2023-02-17 12:00 - 14:00

Seminar: Informationstheoretische Grundlagen von ML

Lecturers:
Prof. Dr.-Ing. Gerhard Wunder

Location:
T9/053 Seminarraum (Takustr. 9)

Back to list of modules

Location: T9/053 Seminarraum (Takustr. 9)

Schedule: Fr 12:00-14:00

Class starts on: 2022-10-21

Course language: German

Contact hours: 2

Number of participants: 17

Limited attendance: Yes

Attendance required: Yes

Modules where this course belongs: