1 citations · 1 across the 2 of their papers we have counts for
3 papers
A Unified Perspective on the Dynamics of Deep Transformers
Valérie Castin, Pierre Ablin, José Antonio Carrillo +1
Transformers, which are state-of-the-art in most machine learning tasks, represent the data as sequences of vectors called tokens. This representation is then exploited by the atte…
Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
Giacomo Borghi, José A. Carrillo
Motivated by variational inference methods, we propose a zeroth-order algorithm for solving optimization problems in the space of Gaussian probability measures. The algorithm is ba…
Adaptive tuning of Hamiltonian Monte Carlo methods
Elena Akhmatskaya, Lorenzo Nagar, Jose Antonio Carrillo +4
With the recently increased interest in probabilistic models, the efficiency of an underlying sampler becomes a crucial consideration. Hamiltonian Monte Carlo (HMC) is one popular…