154 citations · 683 across the 22 of their papers we have counts for
22 papers
Characterization of anomalous diffusion through convolutional transformers
Nicolás Firbas, Òscar Garibo-i-Orts, Miguel Ángel Garcia-March +1
The results of the Anomalous Diffusion Challenge (AnDi Challenge) have shown that machine learning methods can outperform classical statistical methodology at the characterization…
Fundamental limitations of the eigenvalue continuation approach
Tomasz Sowiński, Miguel A. Garcia-March
In this work, we show that the eigenvalue continuation approach introduced recently in [Phys. Rev. Lett. {\bf 121}, 032501 (2018)], despite its many advantages, has some fundamenta…
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
Òscar Garibo i Orts, Miguel A. Garcia-March, J. Alberto Conejero
Anomalous diffusion occurs at very different scales in nature, from atomic systems to motions in cell organelles, biological tissues or ecology, and also in artificial materials, s…
Probing the edge between integrability and quantum chaos in interacting few-atom systems
Thomás Fogarty, Miguel Ángel García-March, Lea F. Santos +1
Interacting quantum systems in the chaotic domain are at the core of various ongoing studies of many-body physics, ranging from the scrambling of quantum information to the onset o…
Quantum dynamics of Bose-polaron in a -dimensional Bose Einstein condensate
M. Miskeen Khan, H. Terças, J. T. Mendonça +4
We study the quantum motion of an impurity atom immersed in a Bose Einstein condensate in arbitrary dimension. The Bogoliubov excitations of the Bose Einstein condensate act as a b…
Efficient training of energy-based models via spin-glass control
Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol +4
We introduce a new family of energy-based probabilistic graphical models for efficient unsupervised learning. Its definition is motivated by the control of the spin-glass propertie…