Cover Image

Learning minimal representations of stochastic processes with variational autoencoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fernández-Fernández, Gabriel, Manzo, Carlo, Lewenstein, Maciej, Dauphin, Alexandre, Muñoz-Gil, Gorka
Format:	Preprint
Published:	2023
Subjects:	Soft Condensed Matter Machine Learning Biological Physics Data Analysis, Statistics and Probability Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantitative evaluation of methods to analyze motion changes in single-particle experiments
by: Muñoz-Gil, Gorka, et al.
Published: (2023)

Objective comparison of methods to decode anomalous diffusion
by: Muñoz-Gil, Gorka, et al.
Published: (2021)

Inferring the dynamics of underdamped stochastic systems
by: Brückner, David B., et al.
Published: (2020)

Spin-Waves without Spin-Waves: A Case for Soliton Propagation in Starling Flocks
by: Cavagna, Andrea, et al.
Published: (2025)

Global graph features unveiled by unsupervised geometric deep learning
by: Granfors, Mirja, et al.
Published: (2025)

Separating water content from network dynamics in cell nuclei with Brillouin microscopy
by: Vovard, Lucie, et al.
Published: (2025)

Divergence of detachment forces in the finite Voronoi model
by: Wang, Wei, et al.
Published: (2026)

Spectral-based detection of chromatin loops in multiplexed super-resolution FISH data
by: Liefsoens, Michaël, et al.
Published: (2023)

Theory of Semi-discontinuous DNA Replication
by: G, Janani, et al.
Published: (2025)

Using Active Matter to Introduce Spatial Heterogeneity to the Susceptible-Infected-Recovered Model of Epidemic Spreading
by: Forgacs, P., et al.
Published: (2022)

When $B_2$ is Not Enough: Evaluating Simple Metrics for Predicting Phase Separation of Intrinsically Disordered Proteins
by: Oliver, Wesley W., et al.
Published: (2025)

Frustration In Physiology And Molecular Medicine
by: Parra, R. Gonzalo, et al.
Published: (2025)

A twenty-first century statistical physics of life
by: Mehta, Pankaj
Published: (2024)

Understanding the temperature response of biological systems: Part I -- Phenomenological descriptions and microscopic models
by: Jacobs, Simen, et al.
Published: (2025)

Learning noisy tissue dynamics across time scales
by: Han, Ming, et al.
Published: (2025)

Fast solver for diffusive transport times on dynamic intracellular networks
by: Elam, Lachlan, et al.
Published: (2022)

Analytical methods for cytoplasmic streaming in elongated cells
by: Htet, Pyae Hein, et al.
Published: (2025)

Data-driven quasiconformal morphodynamic flows
by: Mosleh, Salem, et al.
Published: (2024)

RinQ: Towards predicting central sites in proteins on current quantum computers
by: Mohtashim, Shah Ishmam
Published: (2025)

Transition from Susceptible-Infected to Susceptible-Infected-Recovered Dynamics in a Susceptible-Cleric-Zombie-Recovered Active Matter Model
by: Libal, A., et al.
Published: (2022)

Learning dynamical models from stochastic trajectories
by: Ronceray, Pierre
Published: (2024)

A Thermodynamic Analysis of Enhanced Metastability in Isochoric Supercooled Liquids
by: Rubinsky, Boris
Published: (2026)

Bacterial Glass Transition
by: Maliet, Martin, et al.
Published: (2025)

Detecting active Lévy particles using differential dynamic microscopy
by: Li, Mingyang, et al.
Published: (2025)

A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease
by: Huang, Shih-Huan, et al.
Published: (2025)

Learning how to find targets in the micro-world: The case of intermittent active Brownian particles
by: Caraglio, Michele, et al.
Published: (2023)

Run-and-Tumble Particles Learning Chemotaxis
by: Tovazzi, Nicholas, et al.
Published: (2025)

An Assembly-Line Mechanism for In-Vitro Encapsulation of Fragmented Cargo in Virus-Like Particles
by: Amjad, Ayesha, et al.
Published: (2025)

How large should be the redundant numbers of copy to make a rare event probable
by: Paquin-Lefebvre, Fred, et al.
Published: (2022)

Hybrid Machine Learning and Mathematical Modeling for Tumor Dynamics Prediction: Comparing SPIONs against mNP-FDG
by: Chattopadhyay, Amit K, et al.
Published: (2025)

ToFiE, a Topology-aware Fiber Extraction workflow for 3D reconstruction of dense and heterogeneous biological fiber networks from microscopy images
by: Togo, Risa, et al.
Published: (2026)

Inferring interaction potentials from stochastic particle trajectories
by: King, Ella M., et al.
Published: (2024)

The Hitchhiker's Guide to Differential Dynamic Microscopy
by: Lattuada, Enrico, et al.
Published: (2025)

Thermodynamic bounds on generalized transport: From single-molecule to bulk observables
by: Dieball, Cai, et al.
Published: (2024)

Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)
by: Manzo, Carlo
Published: (2021)

Microscopic and stochastic simulations of chemically active droplets
by: Berthin, Roxanne, et al.
Published: (2024)

Entropy production and thermodynamic inference for stochastic microswimmers
by: Chatzittofi, Michalis, et al.
Published: (2023)

Optimal switching strategies for navigation in stochastic settings
by: Mori, Francesco, et al.
Published: (2023)

Multifractional Brownian motion with telegraphic, stochastically varying exponent
by: Balcerek, Michał, et al.
Published: (2025)

Stress relaxation in fiber networks via force-dependent stochastic severing
by: Kulkarni, Prathamesh, et al.
Published: (2026)