Results 51 to 60 of about 2,849 (140)
Learning from small data sets: Patch‐based regularizers in inverse problems for image reconstruction
GAMM-Mitteilungen, Volume 47, Issue 4, November 2024.Abstract The solution of inverse problems is of fundamental interest in medical and astronomical imaging, geophysics as well as engineering and life sciences. Recent advances were made by using methods from machine learning, in particular deep neural networks.
Moritz Piening +5 more
wiley +1 more source
A patch that imparts unconditional stability to certain explicit integrators for SDEs [PDF]
, 2010 This paper proposes a simple strategy to simulate stochastic differential equations (SDE) arising in constant temperature molecular dynamics. The main idea is to patch an explicit integrator with Metropolis accept or reject steps.
Bou-Rabee, Nawaf, Vanden-Eijnden, Eric
core
A probabilistic full waveform inversion of surface waves
Geophysical Prospecting, Volume 72, Issue 9, Page 3448-3473, November 2024.Abstract Over the past decades, surface wave methods have been routinely employed to retrieve the physical characteristics of the first tens of meters of the subsurface, particularly the shear wave velocity profiles. Traditional methods rely on the application of the multichannel analysis of surface waves to invert the fundamental and higher modes of ...
Sean Berti +2 more
wiley +1 more source
Asymptotics of Fixed Point Distributions for Inexact Monte Carlo Algorithms
, 2007 We introduce a simple general method for finding the equilibrium distribution for a class of widely used inexact Markov Chain Monte Carlo algorithms. The explicit error due to the non-commutivity of the updating operators when numerically integrating ...
Clark, M. A., Kennedy, A. D.
core +1 more source
High‐dimensional sparse classification using exponential weighting with empirical hinge loss
Statistica Neerlandica, Volume 78, Issue 4, Page 664-691, November 2024.In this study, we address the problem of high‐dimensional binary classification. Our proposed solution involves employing an aggregation technique founded on exponential weights and empirical hinge loss. Through the employment of a suitable sparsity‐inducing prior distribution, we demonstrate that our method yields favorable theoretical results on ...
The Tien Mai
wiley +1 more source
Optimized Constant Pressure Stochastic Dynamics
, 1999 A recently proposed method for computer simulations in the isothermal-isobaric (NPT) ensemble, based on Langevin-type equations of motion for the particle coordinates and the ``piston'' degree of freedom, is re-derived by straightforward application of ...
Duenweg, B., Kolb, A.
core +3 more sources
Unraveling the Source of Self‐Induced Diastereomeric Anisochronism in Chiral Dipeptides
Chemistry – A European Journal, Volume 30, Issue 59, October 23, 2024.NMR spectroscopy and computational analysis shed light on the SIDA (Self‐Induced Diastereomeric Anisochronism) phenomenon occurring in non‐racemic mixtures of chiral dipeptide derivatives. Self‐assembly in solution gives rise to diastereomeric homochiral and heterochiral adducts tightly associated, which can be differentiated by proton NMR analysis ...
Fabio Spiaggia +6 more
wiley +1 more source
Convergence rates of Metropolis–Hastings algorithms
WIREs Computational Statistics, Volume 16, Issue 5, September/October 2024.State‐of‐the‐art methods for convergence analysis of Metropolis‐Hastings algorithms are considered and reviewed. Practically important topics are discussed for an interdisciplinary audience. This includes convergence properties in high dimensions, proper tuning, initialization, and limitations of current convergence analyses.
Austin Brown, Galin L. Jones
wiley +1 more source
Scandinavian Journal of Statistics, Volume 51, Issue 3, Page 1206-1229, September 2024.Abstract A metric tensor for Riemann manifold Monte Carlo particularly suited for nonlinear Bayesian hierarchical models is proposed. The metric tensor is built from symmetric positive semidefinite log‐density gradient covariance (LGC) matrices, which are also proposed and further explored here.
Tore Selland Kleppe
wiley +1 more source
Optimal Scaling Results for Moreau-Yosida Metropolis-adjusted Langevin Algorithms [PDF]
, 2023 Francesca R. Crucinio +3 more
openalex +1 more source