Deep Learning in Lenk
Jan. 27, 2019

In one exciting week, the 40 participants of the CUSO Deep Learning Winter School had a chance to catch up on the newest developments in the world of Deep Learning. The school covered a wide range of topics, including theoretial background, unsupervised learning, generative models, language modelling and more. With inspiring speakers such as Alyosha Efros, René Vidal, Paolo Favaro and others the school offered the students an opportunity to connect and discuss - and hopefully spark new and exciting ideas for future works. 

The school was organized by Paolo Favaro, François Fleuret and Marcus Liwicki under the Doctoral Program in Computer Science of the CUSO universities. Head over to the school's website to watch recordings of the talks and download presentation slides. 

Winter School on Deep Learning
Nov. 30, 2018

From Jan. 21 - 25, 2019, the winter school will bring together international experts in deep learning to share their expertise and provide a first-hand account of the fascinating developments and opportunities in this area. The school is organized by Marcus Liwicki, François Fleuret and Paolo Favaro under the Doctoral Program in Computer Science of the CUSO universities. It is primarily targeted at PhD students in computer science in these universities. 

Among the speakers are

  • Alexei Efros, Professor at UC Berkley
  • Jan Koutník, Director of Intelligent Automation, NNAISENSE
  • Moustapha Cisse, Head of Google AI center in Accra, Ghana
  • Klaus Greff, Ph.D. student at IDSIA
  • and more 

The registration will open shortly. If you are interested, please visit the website for more information.

Machine Learning Is Reaching for the Stars
Nov. 29, 2018

The National Centre of Competence in Research PlanetS is organizing a workshop on Machine Learning from Feb. 13 - 15, 2019 at the Geneva Observatory, University of Geneva. The three-day event will introduce astronomers to the practical use of Machine Learning for astronomical data. Specifically, it will cover these subjects: 

  • Supervised: Deep Learning for transit detection
  • Supervised: from linear regression, through XGBoots to AutoML and SVM
  • Unsupervised: Dimensionality Reduction from PCA to T-SNE

Prof. Paolo Favaro and PhD student Simon Jenni are invited to speak at the event. The registration is currently open, but limited to 30 participants. For more information, visit the workshop website here.

updated Feb. 22, 2019

Light Field Workshop at Fraunhofer Institute
Nov. 29, 2018

Paolo Favaro will give a talk at the Light Field Workshop at Fraunhofer Institute on Feb. 22, 2019.

The aim of this RealVision training meeting is to "combine expertise from several disciplines, i.e. engineering, computer science, physics, vision science and psychology – that are usually disconnected – and train the RealVision Early-Stage Researchers (ESRs) to be capable of working with all stages and aspects of visual processing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually better visual imaging systems."

Further details about the workshop will be posted shortly on the website.

BASP Frontiers
July 28, 2018

In its fifth edition, the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop will welcome 100 participants to discuss topics in theoretical, astrophysical, and biomedical signal processing, with a particular focus on imaging. Prof. Paolo Favaro will give a talk titled “Blind Deconvolution: A Journey from Model-Based to Deep Learning Methods”. The workshop will be from January 3-8 2019 in Villars-sur-Ollon, Switzerland.