Publications

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But it Looks so Real! Challenges in Training Models with Synthetic Data for International Safeguards

INMM annual meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Matthew Randolph Marshall

Conference Paper – 2022 Conference Paper 2022

Deep Deception

Artificial intelligence and machine learning for IAEA safeguards

David Rushton Farley, Zoe Nellie Gastelum, Timothy Malcolm Shead

Conference Presentation – 2022 Conference Presentation 2022

But it Looks so Real! Challenges in Training Models with Synthetic Data for International Safeguards

Institute of Nuclear Materials Management Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead

Abstract – 2022 Abstract 2022

Adapting Secure MultiParty Computation to Support Machine Learning in Radio Frequency Sensor Networks

Jonathan W. Berry, Anand Ganti, Kenneth Goss, Carolyn Doo Mayer, Uzoma Onunkwo, Cynthia Ann Phillips, Jared Saia, Timothy Malcolm Shead

https://www.osti.gov/search/identifier:1842271

SAND Report – 2022 SAND Report 2022

Machine Learning Classification for Rapid CAD-to-Simulation

SIAM International Meshing Roundtable

Steven J. Owen, Armida J. Carbajal, Corey Devan Ernst, Matthew Gregor Peterson, Timothy Malcolm Shead

Conference Paper – 2022 Conference Paper 2022

A Safeguards-Informed Image Dataset for Computer Vision R&D

INMM/ESARDA Joint Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Ahmad Rushdi

Conference Presentation – 2021 Conference Presentation 2021

Synthetic Images for Machine Learning

CGI for Science Workshop

Timothy Malcolm Shead, Zoe Nellie Gastelum, Ahmad Rushdi

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

A Large Safeguards-Informed Hybrid Imagery Dataset for Computer Vision Research and Development

Joint Annual INMM/ESARDA Meeeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Ahmad Rushdi

Conference Paper – 2021 Conference Paper 2021

Safeguards-Informed Hybrid Imagery Dataset

Nuclear Security Applications Research & Development Program Review Meeting

Joshua Edward Rutkowski, Zoe Nellie Gastelum, Timothy Malcolm Shead, Ahmad Rushdi, Jason C. Bolles, Arielle Mattes

Conference Poster – 2021 Conference Poster 2021

A Large Safeguards-Informed Hybrid Imagery Dataset for Computer Vision Research and Development

INMM/ESARDA Joint Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Ahmad Rushdi

Abstract – 2021 Abstract 2021

How Low Can You Go? Using Synthetic 3D Imagery to Drastically Reduce Real-World Training Data for Object Detection

Zoe Nellie Gastelum, Timothy Malcolm Shead

https://www.osti.gov/search/identifier:1670874

SAND Report – 2020 SAND Report 2020

Synthetic Training Images for Real-World Object Detection

INMM Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead

https://www.osti.gov/search/identifier:1804625

Conference Paper – 2020 Conference Paper 2020

Synthetic Training Images for Real-World Object Detection

INMM Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Michael Higgins

https://www.osti.gov/search/identifier:1807426

Conference Paper – 2020 Conference Paper 2020

The Use of Synthetic 3D Images to Drastically Reduce Real-World Training Data for Object Detection Models

Conference on Data Analysis

Zoe Nellie Gastelum, Timothy Malcolm Shead, Michael Higgins

https://www.osti.gov/search/identifier:1766905

Conference Paper – 2020 Conference Paper 2020

Synthetic Training Images for Real-World Object Detection

INMM Annual Meeting

Zoe Nellie Gastelum, Timothy Malcolm Shead, Michael Higgins

Abstract – 2020 Abstract 2020

Using Unsupervised Anomaly Detection for Data Reduction in Temporal and Spatial Data

BioXFEL 2020

Gabriel ANUOLUWAPO Popoola, Warren Leon Davis, Timothy Malcolm Shead, Corey Graves

https://www.osti.gov/search/identifier:1763159

Conference Paper – 2020 Conference Paper 2020

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

Artificial Intelligence for Robust Engineering & Science

Warren Leon Davis IV, Timothy Malcolm Shead, Hemanth Kolla, Kevin Reed, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola

https://www.osti.gov/search/identifier:1762271

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

The Use of Synthetic 3D Images to Drastically Reduce Real-World Training Data for Object Detection Models

Conference on Data Analysis

Zoe Nellie Gastelum, Timothy Malcolm Shead, Michael Higgins

Abstract – 2020 Abstract 2020

Information-Theoretically Secure Distributed Machine Learning

Timothy Malcolm Shead, Jonathan W. Berry, Cynthia Ann Phillips, Jared Saia

https://www.osti.gov/search/identifier:1763277

SAND Report – 2019 SAND Report 2019

Data Analytics are Powerful -- Handle with Care

Chesapeake Large-Scale Analytics Conference

Jeremy D Wendt, William Philip Kegelmeyer, Ali Pinar, Timothy Malcolm Shead, Gary Joseph Saavedra, Cosmin Safta, Joseph Bertino

https://www.osti.gov/search/identifier:1642746

Conference Paper – 2019 Conference Paper 2019

A Framework for In-Situ Anomaly Detection in HPC Environments

Supercomputing 2019

Timothy Malcolm Shead, Hemanth Kolla, Aditya Konduri, Gabriel Papoola, Warren Leon Davis, Daniel Dunlavy, Kevin Reed

https://www.osti.gov/search/identifier:1642180

Conference Paper – 2019 Conference Paper 2019

In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms

2019 Cis Erb

Warren Leon Davis, Timothy Malcolm Shead, Hemanth Kolla, William Philip Kegelmeyer, Gabriel ANUOLUWAPO Popoola, Kevin Reed

https://www.osti.gov/search/identifier:1645860

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

The Potential of In-Situ Machine Learning Algorithms for Tropical Cyclone Detection in Advanced Climate Modeling

American Geophysical Union Fall Meeting 2019

Warren Leon Davis, Kevin Reed, Timothy Malcolm Shead, Hemanth Kolla, Gabriel ANUOLUWAPO Popoola, William Philip Kegelmeyer, Aditya Konduri, Julia Ling

Abstract – 2019 Abstract 2019

Integrating Physical and Informational Sensing to Support Nonproliferation Assessments of Nuclear-Related Facilities

INMM Annual Meeting

Zoe Nellie Gastelum, Bethany (UCB) Goldblum, Timothy Malcolm Shead, Christopher (UCB) Stewart, Aaron (PNNL) Luttman

https://www.osti.gov/search/identifier:1641009

Conference Paper – 2019 Conference Paper 2019

CAD Defeaturing using Machine Learning

International Meshing Roundtable

Steven J. Owen, Timothy Malcolm Shead, Shawn Martin

https://www.osti.gov/search/identifier:1640901

Conference Paper – 2019 Conference Paper 2019
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Results 1–25 of 66