Variational Methods and Non-Smooth Geometric Structures with Applications

Giornata Teorica
Room AS01, Via Roentgen 1
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Variational Methods and Non-Smooth Geometric Structures with Applications

 

The workshop brings together researchers exploring variational methods, optimal transport, non-smooth geometric structures and machine learning. In addition to theoretical aspects, it will cover applications to gradient flows, entropic transport, mean field models, singular limits, optimization, and data analysis, with a key focus on the role of non-Euclidean structures and convergence properties in large-scale models. By bridging analysis, geometry, numeric, and optimization, this event aims to foster interdisciplinary collaboration and advance new mathematical tools for emerging applications.
 

SPEAKERS
Luigi Ambrosio Scuola Normale Superiore, Pisa 
Charles Bertucci CNRS-École Polytechnique, Paris 
Giulia Cavagnari Politecnico di Milano 
Lénaïc Chizat EPFL 
Ernesto De Vito University of Genoa 
Virginie Ehrlacher CERMICS, ENPC 
Massimo Fornasier Technical University of Munich 
Anna Korba ENSAE-CREST 
Hugo Lavenant Bocconi University 
Edoardo Mainini Bocconi University 
Cesare Molinari Bocconi University 
Emanuele Naldi University of Genoa 
Filippo Riva Bocconi University 
Lorenzo Rosasco University of Genoa 
Alessandro Rudi SDA Bocconi School of Management 
Silvia Villa University of Genoa 
Federico Vitillaro Scuola Normale Superiore, Pisa 

 

ORGANIZING COMMITTEE
Luigi Ambrosio Scuola Normale Superiore, Pisa
Ernesto De Vito University of Genoa
Giuseppe Savarè Bocconi University

 

Please note that registration is mandatory to participate in the event. You can find the registration form here.
The deadline to register is May 28, 2025.

Program

Organized by BIDSA Bocconi Institute for Data Science and Analytics, and Department of Decision Sciences
PRIN Grant 202244A7YL (2023-2025) "Gradient Flows and Non-Smooth Geometric Structures with Applications to Optimization and Machine Learning" - Funded by the European Union NextGeneration EU, missione 4, componente 2, investimento 1.1 - CUP J53D23003570001.