72 citations · 118 across the 7 of their papers we have counts for
Showing 2018Show all
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stat.ML2018★ 35 cited
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion
Seungjoon Lee, Felix Dietrich, George E. Karniadakis +1
In statistical modeling with Gaussian Process regression, it has been shown that combining (few) high-fidelity data with (many) low-fidelity data can enhance prediction accuracy, c…
math.OC2018★ 2 cited
Some manifold learning considerations towards explicit model predictive control
Robert J. Lovelett, Felix Dietrich, Seungjoon Lee +1
Model predictive control (MPC) is a de facto standard control algorithm across the process industries. There remain, however, applications where MPC is impractical because an optim…