Generative Modeling of Stochastic Dynamics for Long-Time Evolution
cond-mat.stat-mech, cs.LG, hep-lat
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
- Learning the action for long-time-step simulations of molecular dynamics
- Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
- Reducing Autocorrelation Times in Lattice Simulations with Generative Adversarial Networks
- Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
- Advances in machine-learning-based sampling motivated by lattice quantum chromodynamics
- Diffusion Models as Stochastic Quantization in Lattice Field Theory
- On learning higher-order cumulants in diffusion models
- Physics-Conditioned Diffusion Models for Lattice Gauge Theory
- Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory
- Learning Stochastic Dynamical System via Flow Map Operator
- A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical Systems
- Generative Modeling by Estimating Gradients of the Data Distribution
- Denoising Diffusion Probabilistic Models
- Score-Based Generative Modeling through Stochastic Differential Equations
- Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations
- Theory of Phase Ordering Kinetics
- Diffusive dynamics of critical fluctuations near the QCD critical point
- Real-time evolution of critical modes in the QCD phase diagram
- Universality of pseudo-Goldstone damping near critical points
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