Imaging & machine learning meeting
January 29 - 31 2020 - Laboratoire I3S, Sophia-Antipolis
This is the website of the meeting Imaging & machine learning which will be held at the Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis (I3S) of Sophia-Antipolis, France, in the period January 29-31 2020.
Topics
The purpose of this meeting is to foster the creation of new collaborations between the Morpheme project team and the Machine Learning Genoa Centre on research topics ranging from theoretical and applied machine learning, computer vision, biological image analysis, inverse problems etc.
The meeting will start with a tutorial on Optimisation for machine learning lectured by Prof. Silvia Villa (DIMA) and Prof. Lorenzo Rosasco (DIBRIS).
Location & transports
The event will take place in the Amphithéâtre Forum and in the Conference Room of the laboratory I3S of Sophia-Antipolis.
- The laboratory I3S can be reached from Antibes (Place de Gaulle/Dugommier) by bus 100 (closest stop: Templiers) or by the bus-tram A (closest stop: INRIA) and from Nice by bus 230 (closest stop: INRIA).
- Several car parking spots are available outside the laboratory.
Tutorial Jan. 29 - Amphithéâtre Forum, Campus SophiaTech
!!! PLEASE NOTE THE ROOM CHANGE !!!
A three-hour tutorial on Optimisation for machine learning will be organised on Wednesday January 29 starting from 14:00 in the Amphithéâtre Forum, Campus SophiaTech (click here for directions). The course will be lectured by Prof. Silvia Villa (DIMA) and Prof. Lorenzo Rosasco (DIBRIS).
PROGRAM
- 14:00 - 15:00: Statistical learning theory: empirical VS expected risk.
- 15:00-16:00: Optimisation to solve regularised empirical risk minimisation: gradient, proximal gradient .
- 16:00-16:30: Coffee break
- 16:30-17:30: Iterative regularisation approach
The registrations to the tutorial are now closed. Confirmed participants have been informed of their successful registration by a confirmation e-mail.
Workshop Jan. 30-31 - Conference Room 007 I3S, Les Algorithmes, Bât. Euclide B
The workshop will be held in the conference room 007 of the I3S laboratory, Les Algorithmes, Bât. Euclide B (click here for directions).
THURSDAY 30 SCHEDULE (click to unroll)
- 9:30-10:00: Welcome coffee
- 10:00-10:15: Opening
- 10:15-10:50: Xavier Descombes (Morpheme), Morpheme fundamentals and a few examples
- 10:50-11:25: Alessandro Verri (DIBRIS), The BMB initiative
- 11:25-11:45: Anca Ioana Grapa (Morpheme), Optimal Transport vs Many-to-many assignment for Graph Matching
- 11:45-12:05: Matteo Moro (DIBRIS), A Deep Learning and Computer Vision-based Approach for Marker-less Human Motion Understanding
- 12:05-14:00: LUNCH BREAK
- 14:00-14:35: Matteo Santacesaria (DIMA), Infinite-dimensional inverse problems with a finite number of measurements
- 14:35-14:55: Matteo Monti (DIMA), Unitarization of the Radon transform on homogeneous trees
- 14:55-15:30: Alin Achim (University of Bristol, visiting Morpheme), Computational Ultrasound Imaging – Some Inverse Problems
- 15:30-16:00: COFFEE BREAK
- 16:00-16:35: Fabienne de Graeve (Morpheme), An image-based high-throughput screen to identify modifiers of RNP granules
- 16:35-16:55: Rudan Xiao (Morpheme), Analysis and classification of cellular and vascular markers in histological images: application to kidney cancer
- 16:55-17:30: Francesca Odone (DIBRIS), Image and video analysis and the Shearlet transform
FRIDAY 31 SCHEDULE (click to unroll)
- 9:00-9:35: Laure Blanc-Féraud (Morpheme), L0 sparse optimisation for super-resolution in fluorescence microscopy.
- 9:35-9:55: Arne Henrik Bechensteen (Morpheme), New $\ell_2-\ell_0$ algorithms for single-molecule localization microscopy
- 9:55-10:30: Daniele Calandriello (LCSL), Scaling machine learning algorithms with adaptive random embeddings
- 10:30-10:50: Nicolò Pagliana (DIMA), Not so Fast: Learning with Accelerated Methods
- 10:50-11:15: COFFEE BREAK
- 11:15-12:15: Concluding remarks, discussion & round table
- 12:15-14:00: LUNCH BREAK & GREETINGS
Organisation
- Luca Calatroni (calatroni 'at' i3s.unice.fr): Chargé de recherche CNRS, UCA, INRIA.
- Matteo Santacesaria (matteo.santacesaria 'at' unige.it): Assistant Professor, DIMA, University of Genova.
Support
The event is supported by the CNRS, the Academy "Systèmes complexes" of UCA (IDEX JEDI) and the laboratory I3S.