Derek Driggs

6 papers and 46 indexed citations i.

Derek Driggs has authored 6 papers that have received a total of 46 indexed citations. This includes 4 papers in Computational Mechanics, 3 papers in Artificial Intelligence and 2 papers in Statistics and Probability. The topics of these papers are Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). Derek Driggs is often cited by papers focused on Stochastic Gradient Optimization Techniques (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Markov Chains and Monte Carlo Methods (2 papers) and collaborates with scholars based in United Kingdom, United States and South Korea. Derek Driggs's co-authors include Carola‐Bibiane Schönlieb, Jingwei Liang, Aleksandr Y. Aravkin, Junqi Tang and Michael A. Calkins and has published in prestigious journals such as Journal of Fluid Mechanics, Mathematical Programming and SIAM Journal on Scientific Computing.