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
|