Image de couverture de livre

Riemannian Stochastic Interpolants for Amorphous Particle Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Grenioux, Louis, Galliano, Leonardo, Berthier, Ludovic, Biroli, Giulio, Gabrié, Marylou
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Statistical Mechanics Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The critical slowing down in diffusion models
par: Del Bono, Luca Maria, et autres
Publié: (2026)

Identifying the relevant parameters in design strategies for stable glasses
par: Galliano, Leonardo, et autres
Publié: (2026)

A theoretical perspective on mode collapse in variational inference
par: Soletskyi, Roman, et autres
Publié: (2024)

Glass and jamming transitions in a random organization model
par: Galliano, Leonardo, et autres
Publié: (2026)

Stochastic Localization via Iterative Posterior Sampling
par: Grenioux, Louis, et autres
Publié: (2024)

Efficient Monte Carlo sampling of metastable systems using non-local collective variable updates
par: Schönle, Christoph, et autres
Publié: (2025)

Improving the evaluation of samplers on multi-modal targets
par: Grenioux, Louis, et autres
Publié: (2025)

Balanced Training of Energy-Based Models with Adaptive Flow Sampling
par: Grenioux, Louis, et autres
Publié: (2023)

Sampling metastable systems using collective variables and Jarzynski-Crooks paths
par: Schönle, Christoph, et autres
Publié: (2024)

Hyperuniform interfaces in non-equilibrium phase coexistence
par: Maire, Raphaël, et autres
Publié: (2025)

Coarse Grained Molecular Dynamics with Normalizing Flows
par: Tamagnone, Samuel, et autres
Publié: (2024)

Learned Reference-based Diffusion Sampling for multi-modal distributions
par: Noble, Maxence, et autres
Publié: (2024)

Dynamical Regimes of Diffusion Models
par: Biroli, Giulio, et autres
Publié: (2024)

Boltzmann Generators for Condensed Matter via Riemannian Flow Matching
par: Hoffmann, Emil, et autres
Publié: (2026)

On Sampling with Approximate Transport Maps
par: Grenioux, Louis, et autres
Publié: (2023)

Yielding and plasticity in amorphous solids
par: Berthier, Ludovic, et autres
Publié: (2024)

The Role of the Time-Dependent Hessian in High-Dimensional Optimization
par: Bonnaire, Tony, et autres
Publié: (2024)

Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
par: Lanzoni, Daniele, et autres
Publié: (2023)

Cascade of phase transitions in the training of Energy-based models
par: Bachtis, Dimitrios, et autres
Publié: (2024)

Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations
par: Christiansen, Henrik, et autres
Publié: (2025)

Controlling dynamics of stochastic systems with deep reinforcement learning
par: Mukhamadiarov, Ruslan
Publié: (2025)

Estimating Solvation Free Energies with Boltzmann Generators
par: Schebek, Maximilian, et autres
Publié: (2025)

Model selection for stochastic dynamics: a parsimonious and principled approach
par: Gerardos, Andonis
Publié: (2025)

Autonomous Discovery of the Ising Model's Critical Parameters with Reinforcement Learning
par: Man, Hai, et autres
Publié: (2026)

AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
par: Kanaujia, Vikas, et autres
Publié: (2024)

Differentiable free energy surface: a variational approach to directly observing rare events using generative deep-learning models
par: Li, Shuo-Hui, et autres
Publié: (2026)

Direct Boltzmann inversion method from particle configurations at arbitrary state points
par: Coquand, Olivier, et autres
Publié: (2026)

Quasi-potential and drift decomposition in stochastic systems by sparse identification
par: Grigorio, Leonardo, et autres
Publié: (2024)

Statistical Mechanics of Dynamical System Identification
par: Klishin, Andrei A., et autres
Publié: (2024)

A Numerical Proof of Shell Model Turbulence Closure
par: Ortali, Giulio, et autres
Publié: (2022)

Wavelet Conditional Renormalization Group
par: Marchand, Tanguy, et autres
Publié: (2022)

Monte Carlo simulations of glass-forming liquids beyond Metropolis
par: Berthier, Ludovic, et autres
Publié: (2024)

Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
par: Behjoo, Hamidreza, et autres
Publié: (2023)

Learning conformational ensembles of proteins based on backbone geometry
par: Wolf, Nicolas, et autres
Publié: (2025)

Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization
par: Cohen, Khen, et autres
Publié: (2026)

Exact Discrete Stochastic Simulation with Deep-Learning-Scale Gradient Optimization
par: Vilar, Jose M. G., et autres
Publié: (2026)

Spectral Methods in Complex Systems
par: Caravelli, Francesco
Publié: (2025)

Quantum statistics from classical simulations via generative Gibbs sampling
par: Wang, Weizhou, et autres
Publié: (2026)

BoostMD: Accelerating molecular sampling by leveraging ML force field features from previous time-steps
par: Schaaf, Lars L., et autres
Publié: (2024)

Entropy Production from Density Field Theories for interacting particles systems
par: Brossollet, Antonin, et autres
Publié: (2025)