Seminar Communication Theory (S3/4)

Seminar on Deep Learning - Methodologies and Applications

Dates

Seminar dates

Deadline for the application procedure in the campus system is 02.04.2019.

The introductory meeting takes place on Thursday, 04.04.2019, 10:30 am, in room 333, ICT cubes, Kopernikusstra├če 16.

Content

Blind Source Separation

Compressed Sensing using Generative Models

Improving information security via full-duplex jamming receivers

ISTA-Net: Iterative Shrinkage-Thresholding Algorithm Inspired Deep Network for Image Compr. Sensing

Optimal sensor deployment under various conditions

Prerequisites

A successful participation in at least one course offered by the Chair of Theoretical Information Theory. (Decision on admission in individual cases.)

Aims

Students learn to work autonomously by dealing with a scientific topic of interest for the institute. Normally, a current research paper is thoroughly worked through. Background material is carefully prepared and missing details are provided by the student. Also literature surveys may be composed. Moreover, simulations may be implemented and evaluated. This work will be documented in a student report and presented to other seminarians and colleagues by using modern presentation techniques.

Exam

Transcript after successful participation (written report and presentation).

Introductory Meeting

On this event the prerequisites will be checked, topic distribution will be checked, and a general introduction to the course and the requirements of the seminar will be given.

Consultation hours

Dr. Michael Reyer upon agreement


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