1 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.dis-nn2024
Dynamical Mean-Field Theory of Self-Attention Neural Networks
Ángel Poc-López, Miguel Aguilera
Transformer-based models have demonstrated exceptional performance across diverse domains, becoming the state-of-the-art solution for addressing sequential machine learning problem…
q-bio.NC2022★ 1 cited
Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models
Miguel Aguilera, Ángel Poc-López, Conor Heins +1
Bayesian theories of biological and brain function speculate that Markov blankets (a conditional independence separating a system from external states) play a key role for facilita…
cond-mat.dis-nn2021★ 1 cited
Inference in neural networks using conditional mean-field methods
Ángel Poc-López, Miguel Aguilera
We extend previous mean-field approaches for non-equilibrium neural network models to estimate correlations in the system. This offers a powerful tool for approximating the system…