4 papers
Theory of collective learning in populations of adaptive agents
Gerhard Jung, Johann Asnacios, Misaki Ozawa +2
We investigate homogeneous populations of smart active agents that exchange information with their neighbors to perform a decentralized learning process aimed at achieving a prescr…
The limits of interpretability in multiple linear regression
Anand Sharma, Chen Liu, Daniele Coslovich +1
Interpreting machine-learning models has attracted increasing attention, particularly in the physical sciences, where one often seeks to understand the underlying mechanisms rather…
Kinetic theory of decentralized learning for smart active matter
Gerhard Jung, Misaki Ozawa, Eric Bertin
Smart active matter has the ability to control its motion guided by individual policies to achieve collective goals. We introduce a theoretical framework to study a decentralized l…
Rényi complexity in mean-field disordered systems
Nina Javerzat, Eric Bertin, Misaki Ozawa
Configurational entropy, or complexity, plays a critical role in characterizing disordered systems such as glasses, yet its measurement often requires significant computational res…