Large-time asymptotics in deep learning

C. Esteve, B. Geshkovski, D. Pighin, E. Zuazua (2025) Large-time asymptotics in deep learning, https://hal.archives-ouvertes.fr/hal-02912516 Abstract. We consider the neural ODE perspective of supervised learning and study the impact of the…

Sparse approximation in learning via neural ODEs

Esteve C., Geshkovski B. Sparse approximation in learning via neural ODEs (2021) Abstract. We consider the continuous-time, neural ordinary differential equation (neural ODE) perspective of deep supervised learning, and study the…
Opening the black box of Deep Learning

Opening the black box of Deep Learning

Opening the black box of Deep Learning Sergi Andreu, DeustoCCM Deep Learning is one of the three main paradigms of Machine Learning, and roughly consists on extracting patterns from data…