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2108.02834
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Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
5 August 2021
Òscar Garibo i Orts
M. Garcia-March
J. A. Conejero
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Papers citing
"Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories"
7 / 7 papers shown
Title
AnomalousNet: A Hybrid Approach with Attention U-Nets and Change Point Detection for Accurate Characterization of Anomalous Diffusion in Video Data
Yusef Ahsini
Marc Escoto
J. Alberto Conejero
23
0
0
07 Apr 2025
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai
Yi Hu
X. Qu
Hui Zhao
Gongyi Wang
Jing Li
Zihan Huang
60
1
0
02 Dec 2024
Gramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories
Òscar Garibo i Orts
Nicolás Firbas
L. Sebastiá
J. A. Conejero
DiffM
13
11
0
02 Sep 2023
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
Henrik Seckler
J. Szwabiński
Ralf Metzler
13
25
0
18 Aug 2023
Preface: Characterisation of Physical Processes from Anomalous Diffusion Data
Carlo Manzo
Gorka Muñoz-Gil
Giovanni Volpe
Miguel Ángel García-March
M. Lewenstein
Ralf Metzler
AI4CE
6
6
0
02 Jan 2023
Characterization of anomalous diffusion through convolutional transformers
Nicolás Firbas
Òscar Garibo i Orts
M. Garcia-March
J. A. Conejero
12
18
0
10 Oct 2022
Variational inference of fractional Brownian motion with linear computational complexity
Hippolyte Verdier
Franccois Laurent
Alhassan Cassé
Christian L. Vestergaard
Jean-Baptiste Masson
17
6
0
15 Mar 2022
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