132 citations · 317 across the 27 of their papers we have counts for
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cs.LG2021★ 65 cited
Stochastic Physics-Informed Neural Ordinary Differential Equations
Jared O'Leary, Joel A. Paulson, Ali Mesbah
Stochastic differential equations (SDEs) are used to describe a wide variety of complex stochastic dynamical systems. Learning the hidden physics within SDEs is crucial for unravel…
math.OC2021
COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information
Joel A. Paulson, Congwen Lu
Many engineering problems involve the optimization of computationally expensive models for which derivative information is not readily available. The Bayesian optimization (BO) fra…