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Natalie Maus
Natalie Maus
PhD. Student, University of Pennsylvania Department of Computer and Information Science
在 seas.upenn.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Local latent space bayesian optimization over structured inputs
N Maus, H Jones, J Moore, MJ Kusner, J Bradshaw, J Gardner
Advances in neural information processing systems 35, 34505-34518, 2022
572022
Adversarial prompting for black box foundation models
N Maus, P Chao, E Wong, J Gardner
arXiv preprint arXiv:2302.04237 1 (2), 2023
462023
Black box adversarial prompting for foundation models
N Maus, P Chao, E Wong, J Gardner
arXiv preprint arXiv:2302.04237, 2023
362023
Discovering many diverse solutions with bayesian optimization
N Maus, K Wu, D Eriksson, J Gardner
arXiv preprint arXiv:2210.10953, 2022
132022
Sedeeq Al-Khazraji, Reynold Bailey, Cecilia Ovesdotter Alm, and Kristen Shinohara. 2020. Gaze-guided Magnification for Individuals with Vision Impairments
N Maus, D Rutledge
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 0
7
Classification of high density regions in global ionospheric maps with neural networks
O Verkhoglyadova, N Maus, X Meng
Earth and Space Science 8 (7), e2021EA001639, 2021
62021
Gaze-guided magnification for individuals with vision impairments
N Maus, D Rutledge, S Al-Khazraji, R Bailey, CO Alm, K Shinohara
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020
62020
Joint Composite Latent Space Bayesian Optimization
N Maus, ZJ Lin, M Balandat, E Bakshy
arXiv preprint arXiv:2311.02213, 2023
22023
Inverse Protein Folding Using Deep Bayesian Optimization
N Maus, Y Zeng, DA Anderson, P Maffettone, A Solomon, P Greenside, ...
arXiv preprint arXiv:2305.18089, 2023
22023
Estimating heading from optic flow: Comparing deep learning network and human performance
N Maus, OW Layton
Neural Networks 154, 383-396, 2022
22022
Variational Gaussian processes with decoupled conditionals
X Zhu, K Wu, N Maus, J Gardner, D Bindel
Advances in Neural Information Processing Systems 36, 2024
12024
Approximation-Aware Bayesian Optimization
N Maus, K Kim, G Pleiss, D Eriksson, JP Cunningham, JR Gardner
arXiv preprint arXiv:2406.04308, 2024
2024
How to identify and understand large-scale structuring in global ionospheric maps?
O Verkhoglyadova, X Meng, J Kosberg, N Maus
AGU Fall Meeting Abstracts 2021, SA15B-1934, 2021
2021
Generative modeling for RNA splicing code predictions and design
D Wu, A Jha, S Jewell, N Maus, JR Gardner, Y Barash
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