Correlation functions and computer simulations

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?Thought-experiments? by molecular dynamics

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Monte Carlo simulation of the massive Schwinger model

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A Proximal Algorithm for Sampling from Non-Smooth Potentials

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Ultra-sparse reconstruction for photoacoustic tomography: Sinogram domain prior-guided method exploiting enhanced score-based diffusion model

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Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics.

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Diffusion approximations and control variates for MCMCPreprint

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Diffusion Models and Generative Artificial Intelligence: Frameworks, Applications and Challenges

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Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem

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Simulation of random growth processes

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Langevin Formulation of Quantum Dynamics

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The Fokker-Planck equations in lattice gauge theories

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Global demons in field theory. Critical slowing down in the XY model

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Lattice field theories

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Dynamical fermions in lattice gauge theories: Metropolis and Langevin techniques in two dimensions

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Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave SamplingPreprint

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QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learningPreprint

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Unbiased Estimation Using a Class of Diffusion Processes

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Normalizing constants of log-concave densities

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Monte Carlo methods in theoretical high-energy physics

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Statistical properties of perturbative nonlinear random diffusion from stochastic integral representations

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Critical behavior of global demons and hybrid Monte Carlo in the XY model

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Efficient Bayesian computation by proximal Markov chain Monte Carlo: when Langevin meets MoreauPreprint

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Latent Autoregressive Source Separation

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Subgradient Langevin Methods for Sampling from Nonsmooth Potentials

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Background field method for nonlinear σ-model in stochastic quantization

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Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling

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Remarks on a Stochastic Quantization of Scalar Fields

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Nonperturbative inconsistency of stochastic quantization in odd dimensions

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Random Coordinate Langevin Monte CarloPreprint

Ding, Z., Li, Q., Lu, J., & Wright, S. J. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.01405 · Cited by 6

Score-based diffusion priors-guided generative deep learning for highly robust 3D denoising in photoacoustic microscopy

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The tamed unadjusted Langevin algorithm

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Oracle lower bounds for stochastic gradient sampling algorithms

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Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling

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Thermodynamic properties of the two-dimensional quantum Heisenberg ferromagnet and the effects of bond dilution

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Higher loops computation of critical exponents by stochastic quantization

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Damage spreading transition in glasses: A probe for the ruggedness of the configurational landscape

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Global Demons in Field Theory: Critical Slowing Down in the XY ModelPreprint

Kusnezov, D., & Sloan, J. (1992) · Cited by 5

A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement

Zhang, J., Yan, H., & Li, X. (2025) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/taslpro.2025.3577387 · Cited by 6

The Kink-Turn 7 Motif: An Additional Test for RNA Force Field Performance

Lemmens, T., Mlýnský, V., Šponer, J., Pykal, M., Banáš, P., Otyepka, M., & Krepl, M. (2025) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.5c00776 · Cited by 4

Noise-free sampling algorithms via regularized Wasserstein proximals

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DreamArrangement: Learning Language-Conditioned Robotic Rearrangement of Objects via Denoising Diffusion and VLM Planner

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Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials

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Quantum Monte Carlo Methods

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Stochastic quantization and mean field approximation

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QCD on the lattice and light hadron spectroscopy

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On the quantum few-body problem

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A micro canonical method for fermionic systems

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A Score-Based Approach for Training Schrödinger Bridges for Data Modelling

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Approximation for the invariant measure with applications for jump processes (convergence in total variation distance)

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Frequency domain generative diffusion model for temporal compressive coherent diffraction imaging

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Control of Overfitting with Physics

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An Stochastic Differential Equation Perspective on Stochastic Convex Optimization

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Symmetries in the path integral formulation of the Langevin dynamics

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Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs

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Computational Evaluation of the Binding of Activated Ribonucleotides in Nonenzymatic RNA Template Copying

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Ito's theorem and gauge field theory

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Langevin formulation of quantum mechanics

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Monte Carlo simulation of systems of identical bosons

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Numerical simulations of the O(3) and CP1 models using the Langevin equations and the Metropolis algorithm

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Hadrons and quarks in lattice QCD

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Ito's theorem and stochastic simulation

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Simulated annealing from continuum to discretization: a convergence analysis via the Eyring--Kramers lawPreprint

Tang, W., & Zhou, X. Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.02339 · Cited by 3

Optimal convex M-estimation via score matching

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Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number

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Energy-Based Models for Speech Synthesis

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Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms

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Nesterov Smoothing for Sampling Without Smoothness

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Decay of correlations in stochastic quantization: the exponential Euclidean field in two dimensions

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Correlated subtractions for computer simulations

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Fourier-accelerated Langevin equation for the planar XY model

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Simulation of Random Growth Processes

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Generative Probabilistic Image ColorizationPreprint

Furusawa, C., Kitaoka, S., Li, M. M., & Odagiri, Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2109.14518 · Cited by 2

Stochastic Quantisation

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Score-based Diffusion Model for Conformer Generation

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Momentum-Imbued Langevin Dynamics (MILD) for Faster Sampling

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Bayesian Sampling Using Interacting Particles

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Stability of Geometrically Recurrent Time-inhomogeneous Markov Chains

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Neural networks and deep learning: part II

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Real‐time cardiac cine MRI : A comparison of a diffusion probabilistic model with alternative state‐of‐the‐art image reconstruction techniques for undersampled spiral acquisitions

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Enhanced score-based priors-boosted generative model for resolution breakthrough in photoacoustic tomography

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Uncertainty Estimation for Learning-Based Classification of Corrupted Images

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TCWD: Temporal compressive coherent diffraction imaging enhanced by weighted wavelet domain diffusion model

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High-resolution Fourier single-pixel non-line-of-sight imaging employing diffusion model

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Graph latent diffusion-based molecular representation learning for enhanced generalization in molecular property prediction

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On geometric convergence for the Metropolis-adjusted Langevin algorithm under simple conditions

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Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions

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Integrating data distribution prior via Langevin dynamics for end‐to‐end MR reconstruction

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Tensor Train Based Sampling Algorithms for Approximating Regularized Wasserstein Proximal Operators

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Estimating Rate-Distortion Functions Using the Energy-Based Model

Wu, S., Xu, S., Chen, L., Wu, H., & Zhang, W. (2025) · IEEE Information Theory Workshop (ITW) · doi:10.1109/itw62417.2025.11240448 · Cited by 1

DEPO: Enhancing E-commerce Image Background Generation with Short Trajectory Direct Expected Preference Optimization

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Aggregated Gradient Langevin Dynamics

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Glue ball masses and the chameleon gauge

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Langevin simulation of the ising model with application to field theory in two and three dimensions

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Langevin Monte Carlo: random coordinate descent and variance reductionPreprint

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Variance reduction for Random Coordinate Descent-Langevin Monte CarloPreprint

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