Jana Thayer

According to our database, Jana Thayer authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

The LCLStream Ecosystem for Multi-Institutional Dataset Exploration.

David M. Rogers, Valerio Mariani, Cong Wang, Ryan N. Coffee, Wilko Kroeger, Murali Shankar, Hans Thorsten Schwander, Thomas L. Beck, Frédéric Poitevin, Jana Thayer

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

Generative Modeling Enables Molecular Structure Retrieval from Coulomb Explosion Imaging.

Xiang Li, Till Jahnke, Rebecca Boll, Jiaqi Han, Minkai Xu, Michael Meyer, Maria Novella Piancastelli, Daniel Rolles, Artem Rudenko, Florian Trinter, Thomas J. A. Wolf, Jana B. Thayer, James P. Cryan, Stefano Ermon, Phay J. Ho

CoRR, November, 2025

Detail Across Scales: Multi-Scale Enhancement for Full Spectrum Neural Representations.

Yuan Ni, Zhantao Chen, Cheng Peng, Rajan Plumley, Chun Hong Yoon, Jana B. Thayer, Joshua J. Turner

CoRR, September, 2025

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE.

Aashwin Mishra, Matt Seaberg, Ryan Roussel, Frédéric Poitevin, Jana Thayer, Daniel Ratner, Auralee Edelen, Apurva Mehta

CoRR, May, 2025

FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging.

Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer

CoRR, February, 2025

Physics-guided dual implicit neural representations for source separation.

Yuan Ni, Zhantao Chen, Alexander N. Petsch, Edmund Xu, Cheng Peng, Alexander I. Kolesnikov, Sugata Chowdhury, Arun Bansil, Jana B. Thayer, Joshua J. Turner

Mach. Learn. Sci. Technol., 2025

2023

Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning.

Zhantao Chen, Cong Wang, Mingye Gao, Chun Hong Yoon, Jana B. Thayer, Joshua J. Turner

CoRR, 2023

PeakNet: Bragg peak finding in X-ray crystallography experiments with U-Net.

Cong Wang, Po-Nan Li, Jana Thayer, Chun Hong Yoon

CoRR, 2023

SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples.

Cong Wang, Eric Florin, Hsing-Yin Chang, Jana Thayer, Chun Hong Yoon

CoRR, 2023

2022

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities.

Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker, Nicolas Burdet, Cheng Peng, Sougata Mardanya, Daniel Ratner, Aashwin Mishra, Chun Hong Yoon, Sanghoon Song, Matthieu Chollet, Gilberto Fabbris, Mike Dunne, Silke Nelson, Mingda Li, Aaron Lindenberg, Chunjing Jia, Youssef Nashed, Arun Bansil, Sugata Chowdhury, Adrian E. Feiguin, Joshua J. Turner, Jana Thayer

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

fairDMS: Rapid Model Training by Data and Model Reuse.

Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster

CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster

Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021

2020

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC.

Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019

Data Processing at the Linac Coherent Light Source.

Jana Thayer, Clemens Weninger, Seshu Yamajala, Sioan Zohar, Daniel Damiani, Mikhail Dubrovin, Christopher Ford, Wilko Kroeger, Christopher Paul O'Grady, Amedeo Perazzo, Murali Shankar, Matt Weaver

Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019