Program


Program

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)

 

Student Poster