Variational Methods and Non-Smooth Geometric Structures with Applications

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.
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FilePRIN 3-5 JUNE 2025-program.pdf (175.7 KB)
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.