TITLES AND ABSTRACTS 

Click here for the complete book of abstracts in pdf format

All lectures will take place in room 1401, except for the course of Liliana Forzani (Monday 21),

 that will take place in room 1103.

   

Keynote Speaker


   College de France

   Probabilist Harmonic Analysis Models of Deep Neural Networks.   Abstract

   Monday 21, 17:00 - 18:30 hs. 


COURSES


The linear algebra behind a neural network Abstract

Monday 21, 13:00 - 16:30 hs. 

Dimensionality Reduction and Manifold Learning. Abstract

Thursday 24 and Friday 25, 10:00 - 11:30 hs.  

Slides of the course  Part 1, Part 2.

A Tour of Mathematical Data Science. Abstract.

Tuesday 22 and Wednesday 23, 10:00 - 11:30 hs. 

Slides of the course Part 1, Part 2.

   Matlab live script for learning about PCA

A mathematical introduction to unlimited sampling     Abstract

Tuesday 22 and Wednesday 23,  15:00 - 16:30 hs.

Slides of the course.



PLENARY TALKS 


Transport  Transforms  for Data Analysis and Machine Learning.   Abstract.

Tuesday 22, 12:00 - 13:00 hs. 

Five years of disappointments while researching distribution shift.   Abstract

Thursday 24, 12:00 - 13:00 hs. 

Domain generalization and fairness analysis in image classification. Abstract.

   Wednesday 23, 12:00 - 13:00 hs. 

Predictive algorithms for driving force identification from dynamical samples.  Abstract 

Friday 25, 12:00 - 13:00 hs. 

Admissible subspaces and low-rank approximations from the Subspace Iteration method.  Abstract

   Thursday 24, 15:00 - 16:00 hs.

Rank-aware joint sparse recovery: theory and applications Abstract.  Slides .

   Tuesday 22, 17:00 - 18:00 hs. 



SHORT TALKS 


Frames via Unilateral Iterations of Bounded Operators. Abstract. 

Wednesday 23, 17:30 - 18:00 hs. 

Laws of Large Numbers, Spectral Translates and Sampling over LCA Groups. Abstract

Wednesday 23, 17:00 - 17:30 hs. 

The boundedness of basic harmonic analysis operators in Gaussian  variable Lebesgue spaces. Abstract.

   Thursday 24, 16:00 - 16:30 hs.