509 citations · 3.2k across the 61 of their papers we have counts for
61 papers
Sequential Bayesian experimental design for calibration of expensive simulation models
Özge Sürer, Matthew Plumlee, Stefan M. Wild
Simulation models of critical systems often have parameters that need to be calibrated using observed data. For expensive simulation models, calibration is done using an emulator o…
Constructing a simulation surrogate with partially observed output
Moses Y-H. Chan, Matthew Plumlee, Stefan M. Wild
Gaussian process surrogates are a popular alternative to directly using computationally expensive simulation models. When the simulation output consists of many responses, dimensio…
A framework for fully autonomous design of materials via multiobjective optimization and active learning: challenges and next steps
Tyler H. Chang, Jakob R. Elias, Stefan M. Wild +2
In order to deploy machine learning in a real-world self-driving laboratory where data acquisition is costly and there are multiple competing design criteria, systems need to be ab…
Designing a Framework for Solving Multiobjective Simulation Optimization Problems
Tyler H. Chang, Stefan M. Wild
Multiobjective simulation optimization (MOSO) problems are optimization problems with multiple conflicting objectives, where evaluation of at least one of the objectives depends on…
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
A. Ćiprijanović, A. Lewis, K. Pedro +4
Artificial intelligence methods show great promise in increasing the quality and speed of work with large astronomical datasets, but the high complexity of these methods leads to t…
Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions
Dananjaya Liyanage, Özge Sürer, Matthew Plumlee +2
Due to large pressure gradients at early times, standard hydrodynamic model simulations of relativistic heavy-ion collisions do not become reliable until \,fm/ after the c…