| 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 | 46 | 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 | 22 | 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 | 16 | 2018 |
| 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 | 8 | 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 | 7 | 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 | 6 | 2023 |
| 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 |
| 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 | 4 | 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 | 2 | 2023 |
| 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 |
| 2D Spectral Representations and Autoencoders for Hyperspectral Imagery Classification and ExplanabilitY Z Hampel-Arias, A Carr, N Klein, E Flynn 2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2024 | 1 | 2024 |
| 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 |
| Denoising neural networks for magnetic resonance spectroscopy N Klein, AJ Day, H Mason, MW Malone, SA Williamson arXiv preprint arXiv:2211.00080, 2022 | 1 | 2022 |
| 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 |
| Regularization via f-Divergence: An Application to Multi-Oxide Spectroscopic Analysis W Li, N Klein, B Gifford, E Sklute, C Legett, S Clegg arXiv preprint arXiv:2502.03755, 2025 | | 2025 |
| Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale L Tang, S Dutta, N Klein, WY Wang, JD Wolfe, L Van Roekel, N Urban, ... Proceedings of the JuliaCon Conferences 6 (60), 134, 2024 | | 2024 |
| Utilizing Bayesian Optimization for Efficient Dispersion Curve Feature Acquisition AJ Day, SA Williamson, NE Klein Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2024 | | 2024 |
| Investigating ChemCam Calibration Methods with Augmented Data RA Morris, PJ Gasda, N Klein, A Essunfeld, A Huynh, J Comellas, A Ollila, ... Lunar and Planetary Science Conference 3040, 2572, 2024 | | 2024 |
| PRELIMINARY MULTIVARIATE CALIBRATION OF MAJOR ELEMENTS USING A CHEMCAM LABORATORY INSTRUMENT UNDER LUNAR EXPERIMENTAL CONDITIONS. N Klein, A Ollila, PJ Gasda, N Lanza, EC Sklute, B Gifford, K Ganguly, ... LPI Contributions 3040, 1627, 2024 | | 2024 |
| 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 |
Earl K. MillerPicower Professor of Neuroscience, Massachusetts Institute of TechnologyBestätigte E-Mail-Adresse bei mit.edu