Natalie Maus is an author at Westminster University specializing in robot learning, bayesian optimization, and computer science.
Top concepts
EngineeringData ScienceDeep LearningRobot LearningBayesian MethodsComputer ScienceMachine LearningBayesian OptimizationArtificial Intelligence
Publications per year
2020–2023
3
3
Black Box Adversarial Prompting for Foundation Models
Natalie Maus, Patrick Chao, Eric Wong et al. · arXiv (Cornell University) · 2023 · 13 citations · Full text
Gaze-guided Magnification for Individuals with Vision Impairments
Natalie Maus, Dalton Rutledge, Sedeeq Al-khazraji et al. · 2020 · 11 citations
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