Sampling via Birth-Death Dynamics
Multilevel Markov Chain Monte Carlo for Uncertainty Quantification... (Christian Ketelsen)
Monte Carlo Methods by Charles Margoissan
Timewarp: Transferable Acceleration of MD by Time-Coarsened Dynamics | Leon Klein & Andrew Foong
Image generation with shortest path diffusion - ArXiv:2306.00501
Grigorios A Pavliotis: Accelerating convergence and reducing variance for Langevin samplers
Zheyang Shen: De-randomizing MCMC dynamics with the diffusion Stein operator
Transport information flows for Bayesian sampling problems, Wuchen Li@Univ. South Carolina
Diffusion and Score-Based Generative Models
Probabilistic sampling for physics : Predicting atomic kinetics of materials with uncertainty,T.S.
DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling
Accelerating and improving climate models with hybrid AI approaches
Jascha Sohl-Dickstein: "Generalizing Hamiltonian Monte Carlo with Neural Networks"
Optimisation-based sampling approaches for hierarchical Bayesian inference
The Langevin MCMC: Theory and Methods by Eric Moulines
Langevin Monte Carlo Randomised mid point method revisited
Christian P. Robert: Bayesian computational methods
Lec 23 | MIT 3.320 Atomistic Computer Modeling of Materials
Stochastic Gradient Langevin Sampling
