Cover Image

Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Boffi, Nicholas M., Vanden-Eijnden, Eric
Format:	Preprint
Published:	2024
Subjects:	Statistical Mechanics Machine Learning Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep learning probability flows and entropy production rates in active matter
by: Boffi, Nicholas M., et al.
Published: (2023)

Variational Optimality of Föllmer Processes in Generative Diffusions
by: Chen, Yifan, et al.
Published: (2026)

NETS: A Non-Equilibrium Transport Sampler
by: Albergo, Michael S., et al.
Published: (2024)

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
by: Albergo, Michael S., et al.
Published: (2023)

Sliding down the stairs: how correlated latent variables accelerate learning with neural networks
by: Bardone, Lorenzo, et al.
Published: (2024)

Hierarchical geometric deep learning enables scalable analysis of molecular dynamics
by: Pengmei, Zihan, et al.
Published: (2025)

Dropout Neural Network Training Viewed from a Percolation Perspective
by: Devlin, Finley, et al.
Published: (2025)

The Loss Surfaces of Neural Networks with General Activation Functions
by: Baskerville, Nicholas P., et al.
Published: (2020)

A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights
by: Ricci, Fabiola, et al.
Published: (2026)

Unsupervised learning of anomalous diffusion data
by: Muñoz-Gil, Gorka, et al.
Published: (2021)

Inference in conditioned dynamics through causality restoration
by: Braunstein, Alfredo, et al.
Published: (2022)

Unveiling the Phase Diagram and Reaction Paths of the Active Model B with the Deep Minimum Action Method
by: Zakine, Ruben, et al.
Published: (2023)

Bayesian symbolic regression: Automated equation discovery from a physicists' perspective
by: Guimera, Roger, et al.
Published: (2025)

Backbone exponent and annulus crossing probability for planar percolation
by: Nolin, Pierre, et al.
Published: (2024)

Principled model selection for stochastic dynamics
by: Gerardos, Andonis, et al.
Published: (2025)

Scale-Adaptive Generative Flows for Multiscale Scientific Data
by: Chen, Yifan, et al.
Published: (2025)

Asymmetric discrete random walk and drift-diffusion with unequal jump times, lengths, and probabilities
by: Lin, Guoxing, et al.
Published: (2023)

Pointwise Generalization in Deep Neural Networks
by: Li, Shaojie, et al.
Published: (2026)

How to build a consistency model: Learning flow maps via self-distillation
by: Boffi, Nicholas M., et al.
Published: (2025)

Graph theoretic derivation of mutual linearity for transient probabilities and hitting time distributions in Markov networks
by: Voits, Julian B., et al.
Published: (2026)

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
by: Ricci, Fabiola, et al.
Published: (2025)

A control variate method for threshold crossing probabilities of plastic deformation driven by transient coloured noise
by: Ip, Harry L. F., et al.
Published: (2025)

Family-Vicsek universality of the binary intrinsic dimension of nonequilibrium data
by: Verdel, Roberto, et al.
Published: (2025)

Fuzzy permutation time irreversibility for nonequilibrium analysis of complex system
by: Yao, Wenpo
Published: (2025)

Conditional splitting probabilities for hidden-state inference in drift-diffusive processes
by: Sezik, Emir, et al.
Published: (2025)

Speed-accuracy relations for diffusion models: Wisdom from nonequilibrium thermodynamics and optimal transport
by: Ikeda, Kotaro, et al.
Published: (2024)

Parameter inference and nonequilibrium identification for Markovian systems based on coarse-grained observations
by: Wu, Bingjie, et al.
Published: (2024)

Gradient flow of the infinite-volume free energy for lattice systems of continuous spins
by: Herry, Ronan, et al.
Published: (2025)

Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
by: Martini, K. Michael, et al.
Published: (2023)

An exact multiple-time-step variational formulation for the committor and the transition rate
by: Lorpaiboon, Chatipat, et al.
Published: (2025)

Thermodynamic bounds on energy use in quasi-static Deep Neural Networks
by: Tkachenko, Alexei V.
Published: (2025)

Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023)

Closed-form survival probabilities for biased random walks at arbitrary step number
by: Mookerjee, Debendro, et al.
Published: (2025)

Evanescent random walker on networks: Hitting times, budget renewal, and survival dynamics
by: Michelitsch, Thomas M., et al.
Published: (2025)

A phase transition in sampling from Restricted Boltzmann Machines
by: Kwon, Youngwoo, et al.
Published: (2024)

Exact closed-form recurrence probabilities for biased random walks at any step number
by: Mookerjee, Debendro, et al.
Published: (2024)

A transition in the hole probability at finite temperature for free fermions in $d$ dimensions
by: Del Vecchio, Giuseppe Del Vecchio, et al.
Published: (2026)

Linear fluctuation of interfaces in Glauber-Kawasaki dynamics
by: Funaki, Tadahisa, et al.
Published: (2024)

Survival probability of random networks
by: Peralta-Martinez, Kevin, et al.
Published: (2026)

Local-global correlations of dynamics on disordered energy landscapes
by: Calvert, Jacob, et al.
Published: (2025)