Connectionists: IEEE International Workshop on Machine Learning for Signal Processing (September 21=?UTF-8?Q?=E2=80=9324=2C_?=online)

[2020 IEEE International Workshop on Machine Learning fo Signal Processing]

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, seehttps://ieeemlsp.cc/

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