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cs.LG2024★ 1 cited
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations
Pradeep Bajracharya, Javier Quetzalcóatl Toledo-Marín, Geoffrey Fox +2
High-performance scientific simulations, important for comprehension of complex systems, encounter computational challenges especially when exploring extensive parameter spaces. Th…
cs.DC2024
Design and Implementation of an Analysis Pipeline for Heterogeneous Data
Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera +8
Managing and preparing complex data for deep learning, a prevalent approach in large-scale data science can be challenging. Data transfer for model training also presents difficult…