DYNAMO Associated Team
(2025-2028)

“The objective of DYNAMO is to advance the collaboration between the two partners with an ambitious project focused on machine learning & self-organization systems. This project leverages the unique strengths of both teams, enabling us to tackle the associated complex challenges more effectively. Both teams share expertise in statistical learning theory, optimal transport, transfer learning, approximation theory, and bi-level optimization, which positions us well for success. The MALICE Inria team contributes its deep knowledge of physics modeling and physics-informed machine learning, while the Main Team offers expertise in stochastic processes, online learning, and kernel methods. Additionally, this initiative will allow us to engage new collaborators from both the Italian and French sides, further enriching our joint research efforts.”