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 highdimensional Bayesian inference"

Aula Dini

10:00 11:00 
Barbier, Jean
"Mean field theory of highdimensional 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 highdimensional Bayesian inference"

Aula Dini

11:30 12:30 
Barbier, Jean
"Mean field theory of highdimensional 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 limitedangle 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 highdimensional Bayesian inference"

Aula Dini

9:00 10:00 
Barbier, Jean
"Mean field theory of highdimensional 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
