Kevin G. Yager

Orcid: 0000-0001-7745-2513

Affiliations:
  • Brookhaven National Lab, NY, USA


According to our database1, Kevin G. Yager authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Towards a Science Exocortex.
CoRR, 2024

2023
Virtual Scientific Companion for Synchrotron Beamlines: A Prototype.
CoRR, 2023

Domain-specific ChatBots for Science using Embeddings.
CoRR, 2023

2022
Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach with Kernel Parameterization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images.
IEEE Trans. Vis. Comput. Graph., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

2020
Multi-Label Visual Feature Learning with Attentional Aggregation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images.
CoRR, 2019

PtychoNet: Fast and High Quality Phase Retrieval for Ptychography.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
MultiSciView: Multivariate Scientific X-ray Image Visual Exploration with Cross-Data Space Views.
Vis. Informatics, 2018

In-Operando Tracking and Prediction of Transition in Material System using LSTM.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Automatic X-ray Scattering Image Annotation via Double-View Fourier-Bessel Convolutional Networks.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
X-Ray Scattering Image Classification Using Deep Learning.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

2014
Materials discovery: Fine-grained classification of X-ray scattering images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Diffusion-based clustering analysis of coherent X-ray scattering patterns of self-assembled nanoparticles.
Proceedings of the Symposium on Applied Computing, 2014


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