Machine learning technologies are proving extremely powerful in many fields of signal processing, telecommunication and computer science. Compression is one of those fields where learning-based approaches are expected to revolutionize the practice and the performance.
This working group has the targets of:
- Keep an updated state-of-the-art about ML technologies for compression
- Gather scholars working in the field in the Paris-Saclay campus and besides
- Organize seminars and discussions about ML for compression
- Maintain resources such as datasets, (open-access) papers, demonstrators, software, mailing lists