CRM: Centro De Giorgi
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Mathematical and Computational Aspects of Machine Learning

7 October 2019 - 11 October 2019

Timetable

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