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Mathematical and Computational Aspects of Machine Learning
7 October 2019 - 11 October 2019
Aims and Research Directions
Scientific Committee
Organizing Committee
List of Participants
Invited Speakers
Timetable
Registration
Documents
Timetable
Weeks:
[
Mon 7 Oct - Fri 11 Oct
]
Date
Time
Speaker
Room
Mon 7 Oct
8:00- 8:45
Registration
Sala Riunioni del Centro De Giorgi
8:45- 9:00
Opening
Aula Dini
9:00- 10:00
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
10:00- 11:00
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
11:00- 11:30
Coffee break
Aula Dini
11:30- 12:30
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
14:30- 15:30
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
15:30- 16:00
Coffee break
Aula Dini
16:00- 17:00
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
17:00- 18:00
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
Tue 8 Oct
8:00- 9:00
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
9:00- 10:00
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
10:00- 10:30
Coffee break
Aula Dini
10:30- 11:30
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
11:30- 12:30
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
14:30- 15:30
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
15:30- 16:00
Coffee break
Aula Dini
16:00- 17:00
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
17:00- 18:00
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
Wed 9 Oct
8:00- 9:00
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
9:00- 10:00
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
10:00- 10:30
Coffee break
Aula Dini
10:30- 11:30
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
11:30- 12:30
Soatto (with Alessandro Achille), Stefano
"Representation Learning"
Aula Dini
14:30- 15:30
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
15:30- 16:00
Coffee break
Aula Dini
16:00- 18:30
Contributed talks
Aula Dini
16:00- 16:20
Berner, Julius
"Regularity theory of deep ReLU networks in the context of partial differential equations"
Aula Dini
16:20- 16:40
Carta, Antonio
"Linear Autoencoder Pretraining for Recurrent Neural Networks"
Aula Dini
16:40- 17:00
Elbrächter, Dennis
"Inverse stability of ReLU neural networks"
Aula Dini
17:00- 17:20
Franchini, Giorgia
"On the steplenght selection in Stochastic Gradient Methods"
Aula Dini
17:20- 17:40
Galinier, Mathilde
"Unrolled ISTA and convolutional neural networks for limited-angle tomography reconstruction"
Aula Dini
17:40- 18:00
Gerolin, Augusto
"How well do WGANs estimate the Wasserstein Metric?"
Aula Dini
18:00- 18:20
Kour, Kirandeep
"Optimal Feature Extraction using Tensor Train Decomposition for Kernel Methods"
Aula Dini
18:20- 18:40
Marino, Raffaele
"Revisiting the challenges of MaxClique"
Aula Dini
18:40- 19:00
Mingione, Emanuele
"The solution of a multiscale SK model"
Aula Dini
19:00- 19:20
Rajković, Marko
"Deep Learning Approaches in Image Morphing"
Aula Dini
Thu 10 Oct
8:00- 9:00
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
9:00- 10:00
Barbier, Jean
"Mean field theory of high-dimensional Bayesian inference"
Aula Dini
10:00- 10:30
Coffee break
Aula Dini
10:30- 11:30
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
11:30- 12:30
Peyré, Gabriel
"Optimal Transport for Data Science"
Aula Dini
14:30- 15:30
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
15:30- 16:00
Coffee break
Aula Dini
16:00- 17:00
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
17:00- 18:00
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
Fri 11 Oct
9:00- 10:00
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
10:00- 11:00
Ruthotto, Lars
"Numerical Methods for Deep Learning"
Aula Dini
11:00- 11:30
Coffee break
Aula Dini
11:30- 12:30
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
14:30- 15:30
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
15:30- 16:00
Coffee break
Aula Dini
16:00- 17:00
Grohs, Philipp
"Approximation theory, Numerical Analysis and Deep Learning"
Aula Dini
17:00- 17:05
Closing
Aula Dini
