2 papers
cs.LG2026
A Parallel Alternative for Energy-Efficient Neural Network Training and Inferencing
Sudip K. Seal, Maksudul Alam, Jorge Ramirez +2
Energy efficiency of training and inferencing with large neural network models is a critical challenge facing the future of sustainable large-scale machine learning workloads. This…
cs.LG2025
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…