most citedAn Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

Stochastic Generative Plug-and-Play Priors

Chicago Y. Park, Edward P. Chandler, Yuyang Hu +4

Plug-and-play (PnP) methods are widely used for solving imaging inverse problems by incorporating a denoiser into optimization algorithms. Score-based diffusion models (SBDMs) have…

cs.LG2025★ 2 cited

An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry

Tianle Wang, Jorge Ramirez, Cristina Garcia-Cardona +3

Structure determination workloads in neutron diffractometry are computationally expensive and routinely require several hours to many days to determine the structure of a material…