Bayesian deep learning for error estimation in the analysis of anomalous diffusion

Bayesian inference of scaled versus fractional Brownian motion

(2022) Samudrajit Thapa et al.   Journal of Physics A-Mathematical and Theoretical

Boosting the performance of anomalous diffusion classifiers with the proper choice of features

(2022) Patrycja Kowalek et al.   Journal of Physics A-Mathematical and Theoretical

Decomposing the effect of anomalous diffusion enables direct calculation of the Hurst exponent and model classification for single random paths

(2022) Philipp G. Meyer et al.   Journal of Physics A-Mathematical and Theoretical

Classification of anomalous diffusion in animal movement data using power spectral analysis

(2022) Ohad Vilk et al.   Journal of Physics A-Mathematical and Theoretical

Evaluating and Calibrating Uncertainty Prediction in Regression Tasks

(2022) Dan Levi et al.   SENSORS

Learning physical properties of anomalous random walks using graph neural networks

(2021) Hippolyte Verdier et al.   Journal of Physics A-Mathematical and Theoretical

Extreme learning machine for the characterization of anomalous diffusion from single trajectories (AnDi-ELM)

(2021) Carlo Manzo   Journal of Physics A-Mathematical and Theoretical

Classification, inference and segmentation of anomalous diffusion with recurrent neural networks

(2021) Aykut Argun et al.   Journal of Physics A-Mathematical and Theoretical

Characterization of anomalous diffusion classical statistics powered by deep learning (CONDOR)

(2021) Alessia Gentili et al.   Journal of Physics A-Mathematical and Theoretical

WaveNet-based deep neural networks for the characterization of anomalous diffusion (WADNet)

(2021) Dezhong Li et al.   Journal of Physics A-Mathematical and Theoretical

Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion

(2021) Henrik D. Pinholt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Bayesian inference of Lévy walks via hidden Markov models

(2021) Seongyu Park et al.   Journal of Physics A-Mathematical and Theoretical

Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories

(2021) Òscar Garibo-i-Orts et al.   Journal of Physics A-Mathematical and Theoretical

Objective comparison of methods to decode anomalous diffusion

(2021) Gorka Muñoz-Gil et al.   Nature Communications

Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion

(2020) Hanna Loch-Olszewska et al.   Entropy

Moses, Noah and Joseph Effects in Coupled L\'evy Processes

(2020) Erez Aghion et al.   NEW JOURNAL OF PHYSICS

Codifference can detect ergodicity breaking and non-Gaussianity

(2019) Jakub Slezak et al.   NEW JOURNAL OF PHYSICS

Single-Particle Diffusion Characterization by Deep Learning

(2019) Naor Granik et al.   BIOPHYSICAL JOURNAL

Brownian motion and beyond: first-passage, power spectrum, non-Gaussianity, and anomalous diffusion

(2019) Ralf Metzler   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Single trajectory characterization via machine learning

(2019) Gorka Muñoz-Gil et al.   NEW JOURNAL OF PHYSICS

Bayesian model selection with fractional Brownian motion

(2018) Jens Krog et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Single-Molecule Kinetics in Living Cells

(2018) Johan Elf et al.   Annual Review of Biochemistry

Non-equilibrium forces drive the anomalous diffusion of telomeres in the nucleus of mammalian cells

(2017) Lorenz Stadler et al.   NEW JOURNAL OF PHYSICS

Nonergodic diffusion of single atoms in a periodic potential

(2016) Farina Kindermann et al.   Nature Physics

A toolbox for determining subdiffusive mechanisms

(2015) Yasmine Meroz et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Lévy walks

(2015) V. Zaburdaev et al.   REVIEWS OF MODERN PHYSICS

Probing the type of anomalous diffusion with single-particle tracking

(2014) Dominique Ernst et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Anomalous diffusion models and their properties: non-stationarity, non-ergodicity, and ageing at the centenary of single particle tracking

(2014) Ralf Metzler et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Scaled Brownian motion: a paradoxical process with a time dependent diffusivity for the description of anomalous diffusion

(2014) Jae-Hyung Jeon et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Nonergodic Subdiffusion from Brownian Motion in an Inhomogeneous Medium

(2014) P. Massignan et al.   PHYSICAL REVIEW LETTERS

Anomalous transport in the crowded world of biological cells

(2013) Felix Höfling et al.   REPORTS ON PROGRESS IN PHYSICS

Diffusion inside living human cells

(2012) N. Leijnse et al.   European Physical Journal-Special Topics

Models of anomalous diffusion in crowded environments

(2012) Igor M. Sokolov   Soft Matter

Single particle tracking in systems showing anomalous diffusion: the role of weak ergodicity breaking

(2011) Stas Burov et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Bayesian estimation of self-similarity exponent

(2011) Natallia Makarava et al.   PHYSICAL REVIEW E

Development of anomalous diffusion among crowding proteins

(2010) Margaret R. Horton et al.   Soft Matter

Fractional Brownian Motion Versus the Continuous-Time Random Walk: A Simple Test for Subdiffusive Dynamics

(2009) Marcin Magdziarz et al.   PHYSICAL REVIEW LETTERS

Random walk models in biology

(2008) E. A Codling et al.   Journal of the Royal Society Interface

Aleatory or epistemic? Does it matter?

(2008) Armen Der Kiureghian et al.   STRUCTURAL SAFETY