Mark Pullin is an author at Amazon (Germany) specializing in data science, uncertainty modeling, and engineering.
Top concepts
EngineeringData ScienceComputer ScienceMachine LearningUncertainty ModelingUncertainty QuantificationManagementSimulationStatisticsDeep Learning
Publications per year
2019–2021
2
2
Emulation of physical processes with Emukit
Andrei Paleyes, Mark Pullin, Maren Mahsereci et al. · arXiv (Cornell University) · 2021 · 56 citations · Full text
Artificial Intelligence, Emulation Technique, Engineering +23
Deep Gaussian Processes for Multi-fidelity Modeling
Kurt Cutajar, Mark Pullin, Andreas Damianou et al. · arXiv (Cornell University) · 2019 · 41 citations · Full text
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