Matthew Reynolds

Statistics

Publications

Citations

265

H-Index

Active since

2015

Affiliations

National Laboratory of the Rockies(Current)

University of Colorado Boulder

Virginia Tech

University of California, Riverside

Matthew Reynolds is an author at National Laboratory of the Rockies specializing in machine learning, computational engineering, and uncertainty quantification.

Publications per year

2015–2024

Publications

ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION

Subhayan De, Jolene Britton, Matthew Reynolds et al. · International Journal for Uncertainty Quantification · 2020 · 68 citations · Full text

Computing, Computational Engineering, Computer Science +16

Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets

Subhayan De, Matthew Reynolds, Malik Hassanaly et al. · Computational Mechanics · 2023 · 38 citations · Full text

Computing, Mathematics, Systems Engineering +12

High-resolution hourly surrogate modeling framework for physics-based large-scale building stock modeling

Liang Zhang, Siby Jose Plathottam, Janet Reyna et al. · Sustainable Cities and Society · 2021 · 35 citations · Full text

Architecture, Building Science, Computational Engineering +13

Curriculum-Based Reinforcement Learning for Distribution System Critical Load Restoration

Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven et al. · IEEE Transactions on Power Systems · 2022 · 26 citations · Full text

Engineering, Curriculum, Forecasting +16

Stochastic economic dispatch of wind power under uncertainty using clustering-based extreme scenarios

S. Bhavsar, R. Pitchumani, Jonathan Maack et al. · Electric Power Systems Research · 2024 · 25 citations · Full text

Natural Sciences, Decision Sciences, Mathematics +16

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