Gran Sasso mountain from Collemaggio Park, L'Aquila
As the amount of available data is growing very fast, the importance of being able to handle and exploit very-large-scale data in an efficient and robust manner is becoming increasingly more relevant. This workshop aims at bringing together experts from signal processing, compressed sensing, low rank methods and machine learning with the goal of highlighting modern approaches as well as challenges in computational mathematics arising in all these areas and at their intersection.
The workshop will feature lectures from invited speakers as well as poster sessions open to all participants.
Online participation will be possible via the zoom link:
If you are attending via zoom, please raise your hand using the specific zoom feature at the end of the talks to ask your questions.
- Evrim Acar Ataman (SIMULA Labs, Norway)
- Matthew Colbrook (Univ Cambridge, UK, and ENS Paris, France)
- Marcello Carioni (Univ Twente, Netherlands)
- Bruno Iannazzo (Univ Perugia, Italy)
- Christian Lubich (Univ Tuebingen, Germany)
- Carlo Marcati (University of Pavia, Italy)
- Daniel Peterseim (Univ Augsburg, Germany)
- Leonardo Robol (Univ Pisa, Italy)
- Karsten Urban (Ulm University, Germany)
- Andre Uschmajew (MPI Leipzig, Germany)
- Konstantin Usevich (CNRS Nancy, France)