Department of Pathology and Laboratory Medicine, University of California Davis, Sacramento, CA, United States Bone marrow evaluation is a powerful diagnostic tool, but it comes with several potential ...

Enhanced sampling techniques are essential for exploring biomolecular conformational dynamics that occur on time scales inaccessible to conventional molecular dynamics (MD) simulations. This study ...

Generative models traditionally rely on large, high-quality datasets to produce samples that replicate the underlying data distribution. However, in fields like molecular modeling or physics-based ...

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Sampling, the art of incorporating others’ works into new creations, has evolved significantly over time. From its early days with pioneers like J Dilla in the 2000s, artists have taken this practice ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Objective: This study aimed to investigate how sampling strategy may impact study results. Specifically, we aimed to (1) investigate if outcomes on parental health and child maltreatment during the ...

Abstract: This paper provides an introductory overview of how one may employ importance sampling effectively as a tool for solving stochastic optimization formulations incorporating tail risk measures ...

Abstract: This tutorial provides an introductory overview of how one may use importance sampling to drastically reduce the sample requirements in solving stochastic optimization and elementary ...