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 | 35 | 2018 |
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 | 17 | 2020 |
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 | 15 | 2018 |
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 | 6 | 2021 |
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 | 4 | 2022 |
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 | 4 | 2021 |
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 | 2 | 2023 |
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 | 2 | 2021 |
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 | 2 | 2021 |
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 | 1 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2021 |
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 |