Correlation functions and computer simulations

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Monte Carlo simulation of the massive Schwinger model

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Score-Based Generative Modeling through Stochastic Differential Equations

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Diffusion Models: A Comprehensive Survey of Methods and Applications

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Diffusion models in medical imaging: A comprehensive survey

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Score-based diffusion models for accelerated MRI

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Stochastic quantization

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High-dimensional Bayesian inference via the unadjusted Langevin algorithm

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Nonasymptotic convergence analysis for the unadjusted Langevin algorithm

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Microcanonical Simulation of Fermionic Systems

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Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

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MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

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Stochastic Gradient Markov Chain Monte Carlo

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Diffusion Models, Image Super-Resolution, and Everything: A Survey

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The stochastic method for numerical simulations:

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Wavelet-Improved Score-Based Generative Model for Medical Imaging

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Log-concave sampling: Metropolis-Hastings algorithms are fastPreprint

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PROBLEMS ON LATTICE GAUGE FIXING

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Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain

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Score-based generative models for calorimeter shower simulation

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Comprehensive exploration of diffusion models in image generation: a survey

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How to Train Your Energy-Based ModelsPreprint

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Non-asymptotic convergence analysis for the Unadjusted Langevin AlgorithmPreprint

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Sharp convergence rates for Langevin dynamics in the nonconvex settingPreprint

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On the masses of the glueballs in pure SU(2) lattice gauge theory

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Nonperturbative simplicial quantum gravity

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Score-Based Generative Modeling through Stochastic Differential Equations

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Stochastic quantization with fermions

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Efficient Gaussian Sampling for Solving Large-Scale Inverse Problems Using MCMC

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Stochastic quantization in phase space

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Kinematical numerical study of the crumpling transition in crystalline surfaces

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Generative Modeling in Sinogram Domain for Sparse-View CT Reconstruction

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A comprehensive survey for generative data augmentation

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Renormalons from eight-loop expansion of the gluon condensate in lattice gauge theory

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Correlation functions and computer simulations (II)

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Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration

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Large-distance correlation functions for an SU(2) lattice gauge theory

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Refined methods for measuring large-distance correlations

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Can We Ever Develop an Ideal RNA Force Field? Lessons Learned from Simulations of the UUCG RNA Tetraloop and Other Systems

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First evaluation of in lattice QCD in the quenched approximation

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Numerical estiamtes for the spectrum of quantum chromodynamics

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Onsager principle of microscopic reversibility and supersymmetry

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Analysis of Langevin Monte Carlo via convex optimizationPreprint

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A Simple Introduction to Monte Carlo Simulation and Some Specialized Topics

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Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis

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CaloScore v2: single-shot calorimeter shower simulation with diffusion models

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GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation

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Langevin simulation in Minkowski space?

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High-resolution iterative reconstruction at extremely low sampling rate for Fourier single-pixel imaging via diffusion model

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Bayesian seismic inversion: a fast sampling Langevin dynamics Markov chain Monte Carlo method

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CoCoGen: Physically Consistent and Conditioned Score-Based Generative Models for Forward and Inverse Problems

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Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications

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Lattice perturbation theory on the computer

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Diffusion model for medical image denoising, reconstruction and translation

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A stochastic approach to simulations of fermionic systems

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Gradient-based Constrained Sampling from Language Models

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Complex probabilities and the Langevin equation

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Learning Implicit Priors for Motion Optimization

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Damage spreading

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Glueball masses and string tension Smeared loop-loop correlation functions

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A gentle introduction and tutorial on Deep Generative Models in transportation research

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Stochastic Variance-Reduced Hamilton Monte Carlo MethodsPreprint

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Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science

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Antiferromagnetic spin Seebeck effect across the spin-flop transition: A stochastic Ginzburg-Landau simulation

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Langevin Monte Carlo without smoothnessPreprint

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Particle-based energetic variational inference

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Multi-phase FZA lensless imaging via diffusion model

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Lyapunov exponents of stochastic dynamical systems

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On fermion polarization effects in lattice gauge theories

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Schrödinger Bridge SamplersPreprint

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Autoencoding Under Normalization ConstraintsPreprint

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Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave SamplingPreprint

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A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets Moreau

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Data-driven stochastic closure modeling via conditional diffusion model and neural operator

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Markov Chain Importance Sampling—A Highly Efficient Estimator for MCMC

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The Gross-Neveu model and the pseudofermion algorithm

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Diffusive aspects of global demons

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Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation

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Torch-Advent-Civilization-Evolution: Accelerating Diffusion Model for Image Restoration

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Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo

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Semi-exact control functionals from Sard’s method

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A Systematic Review of Diffusion Models for Medical Image-Based Diagnosis: Methods, Taxonomies, Clinical Integration, Explainability, and Future Directions

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A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography

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Face Super-Resolution Using Stochastic Differential Equations

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Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors

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Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers

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Calculation of correlation functions in the case of degeneracy of the state of statistical equilibrium

Tserkovnikov, Y. A. (1975) · Theoretical and Mathematical Physics · doi:10.1007/bf01036156 · Cited by 2 · see citing works