Program
S3P-2017 Final Program (PDF)
Lectures
Monday 4
Stephane Mallat (Ecole Normale Superieure, F)
Mathematical Mysteries of Deep Neural Networks
Peyman Milanfar (Google Research, USA)
Regularization by Denoising - A generalized Laplacian framework - Slides (PDF)
Pier Luigi Dragotti (Imperial College London, UK)
Single-Image Super-Resolution: Coupled-dictionary learning vs model-based processing - Slides (PDF)
Tuesday 5
Michael Elad (Technion, IL)
From Sparse Representations to Deep Learning - Slides (PDF)
Iasonas Kokkinos (Facebook Artificial Intelligence Research and University College London, UK)
Deeplab to UberNet: from task-specific to task-agnostic deep learning in computer vision - Slides (PDF)
Silvio Savarese (Stanford University, USA)
Recognizing Objects and People in the 3D World: A Deep Learning Perspective
Wednesday 6
Andrea Vedaldi (University of Oxford, UK)
Synthetic visual brains: understanding and visualising modern deep neural networks
Thursday 7
Hermann Ney (Aachen University, D)
Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks - Slides (PDF)
Mauro Barni (University of Siena, I)
Ethics and etiquette of publication: some dos and don'ts researchers should be aware of
Friday 8
Fabio Roli (University of Cagliari, I)
Adversarial Machine Learning - Slides (PDF)