IEEE International Workshop on Machine Learning for Signal Processing (September 21–24 2020, online)

The 30th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will take place at the Aalto University campus, Finland, but with a fully virtual program due to the pandemic, and present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, special and regular single-track sessions as well as matchmaking events.

Invited speakers: Aki Vehtari (Aalto University) will give a tutorial on the Stan probabilistic programming language, Michael Unser (École polytechnique fédérale de Lausanne) a keynote on “Deep splines”, Ole Winther (University of Copenhagen / Technical University of Denmark) on “Latent variable models from independent components to VAEs and flows”, Mihaela van der Schaar (University of Cambridge) on “Machine learning: Changing the future of healthcare”, and Razvan Pascanu (DeepMind) on “Improving learning efficiency for deep neural networks”. The technical program includes 82 oral/poster presentations.

Registration is **free of charge** and closes Sep 13. For full program and registration, see https://ieeemlsp.cc/