Natalie Klein

According to our database, Natalie Klein authored at least 9 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation.

Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen

CoRR, 2023

Hyperspectral Target Identification Using Physics-Guided Neural Networks with Explainability and Feature Attribution.

Natalie Klein, Adra Carr, Zigfried Hampel-Arias, Allison Zastrow, Amanda Ziemann, Eric Flynn

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Generative structured normalizing flow Gaussian processes applied to spectroscopic data.

Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen

CoRR, 2022

Denoising neural networks for magnetic resonance spectroscopy.

Natalie Klein, Amber J. Day, Harris Mason, Michael W. Malone, Sinead A. Williamson

CoRR, 2022

2021

Cross-population coupling of neural activity based on Gaussian process current source densities.

Natalie Klein, Joshua H. Siegle, Tobias Teichert, Robert E. Kass

PLoS Comput. Biol., 2021

Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra.

Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen

CoRR, 2021

TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations.

Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

In Situ Climate Modeling for Analyzing Extreme Weather Events.

Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

Topological Segmentation and Tracking for Space Weather Modeling.

Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021