Prati
Natalie Klein
Natalie Klein
Potvrđena adresa e-pošte na lanl.gov
Naslov
Citirano
Citirano
Godina
Adolescent development of cortical oscillations: Power, phase, and support of cognitive maturation
S Marek, B Tervo-Clemmens, N Klein, W Foran, AS Ghuman, B Luna
PLoS biology 16 (11), e2004188, 2018
352018
Torus graphs for multivariate phase coupling analysis
N Klein, J Orellana, SL Brincat, EK Miller, RE Kass
The annals of applied statistics 14 (2), 635, 2020
172020
Detecting multivariate cross-correlation between brain regions
J Rodu, N Klein, SL Brincat, EK Miller, RE Kass
Journal of neurophysiology 120 (4), 1962-1972, 2018
152018
Cross-population coupling of neural activity based on Gaussian process current source densities
N Klein, JH Siegle, T Teichert, RE Kass
PLoS computational biology 17 (11), e1009601, 2021
62021
Quantifying uncertainty in machine learning for hyperspectral target detection and identification
N Klein, A Carr, Z Hampel-Arias, A Ziemann, E Flynn, K Mitchell
Algorithms, Technologies, and Applications for Multispectral and …, 2022
42022
Tributarypca: Distributed, streaming pca for in situ dimension reduction with application to space weather simulations
Y Wang, N Klein, S Morley, V Jordanova, M Henderson, A Biswas, ...
2021 7th International Workshop on Data Analysis and Reduction for Big …, 2021
42021
Hyperspectral target identification using physics-guided neural networks with explainability and feature attribution
N Klein, A Carr, Z Hampel-Arias, A Zastrow, A Ziemann, E Flynn
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
22023
In situ climate modeling for analyzing extreme weather events
S Dutta, N Klein, L Tang, JD Wolfe, LV Roekel, JJ Benedict, A Biswas, ...
ISAV'21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and …, 2021
22021
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra
K Kontolati, N Klein, N Panda, D Oyen
arXiv preprint arXiv:2108.08709, 2021
22021
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation
N Panda, N Klein, D Yang, P Gasda, D Oyen
arXiv preprint arXiv:2304.08673, 2023
12023
Building performance evaluation framework of foundation models for nonproliferation applications
A Skurikhin, G Flynn, M Geyer, G Gopalan, N Klein, J Moore, M Myshatyn, ...
Proceedings of the 2nd Joint Annual Meeting of the Institute of Nuclear …, 2023
12023
Gaussian Process Variational Autoencoders for Generative Modeling of ChemCam Data
N Klein, P Gasda, J Castorena, DA Oyen
5th Planetary Data Workshop & Planetary Science Informatics & Analytics 2549 …, 2021
12021
Physics-guided neural networks for hyperspectral target identification
N Klein, A Carr, Z Hampel-Arias, A Ziemann, E Flynn
Applications of Machine Learning 2023 12675, 1267503, 2023
2023
How is statistical thinking useful for evaluating foundation models?
NE Klein, GR Gopalan, EM Casleton
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023
2023
Multiverse: Bayesian model selection for neural networks
N Klein
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2023
2023
Computer Vision: EO Imaging & Video Tasks, Metrics, and Datasets
AN Skurikhin, NE Klein
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2023
2023
Generative structured normalizing flow Gaussian processes applied to spectroscopic data
N Klein, N Panda, P Gasda, D Oyen
arXiv preprint arXiv:2212.07554, 2022
2022
Selecting experiments to better inform predictive models for the Mars rover [Slides]
NE Klein
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2022
2022
Denoising neural networks for magnetic resonance spectroscopy
N Klein, AJ Day, H Mason, MW Malone, SA Williamson
arXiv preprint arXiv:2211.00080, 2022
2022
STAMPS and LANL Statistical Sciences Discussion [Slides]
BP Weaver, DA Osthus, MJ Grosskopf, KA Kaufeld, MF Dorn, NE Klein
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2022
2022
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