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Publication	Type	Year
Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams International System Dynamics Conference Asmeret Bier Naugle, Laura Painton Swiler, Kiran Lakkaraju, Stephen Joseph Verzi, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1641241	Conference Paper – 2019 Conference Paper	2019
Complexity metrics for Agent Based Models of Social Systems The 20th International Workshop on Multi-Agent-Based Simulation Kiran Lakkaraju, Asmeret Bier Naugle, Stephen Joseph Verzi, Laura Painton Swiler, Michael Livesay, Christina E. Warrender, Michael Lewis Bernard, Vicente J. Romero https://www.osti.gov/search/identifier:1639730	Conference Paper – 2019 Conference Paper	2019
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication Arxiv William Mark Severa, Craig Michael Vineyard, Ryan Anthony Dellana, Stephen Joseph Verzi, James Bradley Aimone	Journal Article – 2018 Journal Article	2018
Computing with Spikes: The Advantage of Fine-grained Timing Neural Computation Stephen Joseph Verzi, Fredrick Rothganger, Ojas D. Parekh, Tu-Thach Quach, Nadine E. Miner, Craig Michael Vineyard, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1466763	Journal Article – 2018 Journal Article	2018
Neural-inspired Anomaly Detection The Ninth International Conference on Complex Systems (ICCS) 2018 Stephen Joseph Verzi, Craig Michael Vineyard, James Bradley Aimone https://www.osti.gov/search/identifier:1570938	Conference Paper – 2018 Conference Paper	2018
A Multi-tiered Complexity Metric The Ninth International Conference on Complex Systems (ICCS) 2018 Asmeret Bier Naugle, Kiran Lakkaraju, Stephen Joseph Verzi, Laura Painton Swiler, Vicente J. Romero, Michael Lewis Bernard https://www.osti.gov/search/identifier:1570180	Conference Paper – 2018 Conference Paper	2018
Neural-Inspired Anomaly Detection The Ninth International Conference on Complex Systems (ICCS) 2018 Stephen Joseph Verzi, Craig Michael Vineyard, James Bradley Aimone https://www.osti.gov/search/identifier:1524953	Conference Paper – 2018 Conference Paper	2018
Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms Neural Inspired Computational Elements Workshop 2018 Craig Michael Vineyard, Stephen Joseph Verzi, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1498201	Conference Paper – 2018 Conference Paper	2018
A Case Study on Neural Inspired Dynamic Memory Management Strategies for High Performance Computing Craig Michael Vineyard, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1396076	SAND Report – 2017 SAND Report	2017
Moving Target Defense, Cyber Systems, and Complexity Presentation to Dr. Richard Linderman and Dr. Paul Antonik Stephen Joseph Verzi, Alexander V. Outkin, Stephen T. Jones, Jared Lee Gearhart, Jacob Aaron Hobbs, John Daniel Siirola, Cynthia Ann Phillips, Daniel Tauritz, Samuel A. Mulder, Asmeret Bier Naugle	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
A Spike-Timing Neuromorphic Architecture IEEE International Conference on Rebooting Computing (ICRC 2017) Aaron Jamison Hill, Jonathon W. Donaldson, Fredrick Rothganger, Craig Michael Vineyard, David R. Follett, Pamela L. Follett, Michael Reed Smith, Stephen Joseph Verzi, William Mark Severa, Felix Wang, James Bradley Aimone, John H. Naegle, Conrad D. James https://www.osti.gov/search/identifier:1470698	Conference Paper – 2017 Conference Paper	2017
Keeping the brain in brain-inspired computing: Test and Evaluation for MICrONS Sandia CIS Review Board Frances S. Chance, James Bradley Aimone, Kristofor Carlson, Warren Leon Davis, Jacob Aaron Hobbs, Timothy Malcolm Shead, Stephen Joseph Verzi, Craig Michael Vineyard	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Steep Deep Spiking Networks Sandia Machine Learning/Deep Learning (MLDL) Conference Stephen Joseph Verzi, Ryan Anthony Dellana, William Mark Severa, Michael Reed Smith, Fredrick Rothganger, Conrad D. James, James Bradley Aimone, Craig Michael Vineyard https://www.osti.gov/search/identifier:1464724	Conference Paper – 2017 Conference Paper	2017
Optimization-based computation with spiking neurons International Joint Conference on Neural Networks Meghan Anne Sahakian, Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1457893	Conference Paper – 2017 Conference Paper	2017
Optimization-based Computation with Spiking Neurons International Joint Conference on Neural Networks (IJCNN) 2017 Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1431555	Conference Paper – 2017 Conference Paper	2017
Recommended Research Directions for Improving the Validation of Complex Systems Models Eric D. Vugrin, Timothy G. Trucano, Laura Painton Swiler, Patrick D. Finley, Tatiana Paz Flanagan, Asmeret Bier Naugle, Jeffrey Y. Tsao, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1367494	SAND Report – 2017 SAND Report	2017
PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense 2017 INFORMS Computing Society Conference Stephen T. Jones, Alexander V. Outkin, Jared Lee Gearhart, Jacob Aaron Hobbs, John Daniel Siirola, Cynthia Ann Phillips, Stephen Joseph Verzi, Daniel Tauritz, Samuel A. Mulder, Asmeret Bier Naugle https://www.osti.gov/search/identifier:1417561	Conference Paper – 2017 Conference Paper	2017
Optimization-based computation with spiking neurons NIPS workshop on Computing with Spikes Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1422128	Conference Paper – 2016 Conference Paper	2016
Optimization-based computation with spiking neurons NIPS 2016 workshop on Computing with Spikes Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone https://www.osti.gov/search/identifier:1422129	Conference Paper – 2016 Conference Paper	2016
A neurally inspired spiking temporal processing unit computational architecture Society for Neuroscience 2016 Craig Michael Vineyard, James Bradley Aimone, Stephen Joseph Verzi, Jonathon W. Donaldson, Michael Reed Smith, Fredrick Rothganger, David R. Follet, Conrad D. James, John H. Naegle https://www.osti.gov/search/identifier:1526843	Conference Paper – 2016 Conference Paper	2016
A Framework for Analysis of Attacker-Defender Interaction in Cyber Systems 2016 Conference on Complex Systems Alexander V. Outkin, Brandon K Eames, Stephen T. Jones, Eric D. Vugrin, Cynthia Ann Phillips, Sarah Elizabeth Walsh, Jacob Aaron Hobbs, Stephen Joseph Verzi, Byron Heersink https://www.osti.gov/search/identifier:1392766	Conference Paper – 2016 Conference Paper	2016
PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense Informs 2017 Alexander V. Outkin, Stephen T. Jones, Jared Lee Gearhart, Jacob Aaron Hobbs, John Daniel Siirola, Cynthia Ann Phillips, Stephen Joseph Verzi, Daniel Tauritz, John Mulder, Asmeret Bier Naugle	Abstract – 2016 Abstract	2016
CSVVUQ Workshop Footprint_20160728 Jeffrey Y. Tsao, Timothy G. Trucano, Stephen D. Kleban, Asmeret Bier Naugle, Stephen Joseph Verzi, Laura Painton Swiler, Curtis Martin Johnson, Mark A. Smith, Tatiana Paz Flanagan, Eric D. Vugrin, Kasimir Georg Gabert, Matthew Samuel Lave, Wei Chen (Northwestern), Daniel DeLaurentis (Purdue), Alfred Hubler (Univerisity of Illinois at Urbana Champagne), Bill Oberkampf (WLO Consulting) https://www.osti.gov/search/identifier:1431458	SAND Report – 2016 SAND Report	2016
Overcoming the Static Learning Bottleneck - the Need for Adaptive Neural Learning IEEE International Conference on Rebooting Computing Craig Michael Vineyard, Stephen Joseph Verzi https://www.osti.gov/search/identifier:1368514	Conference Paper – 2016 Conference Paper	2016
Model/Use Characteristics that Can Challenge Current VVUQ: Building Credible Models Sandia National Laboratories Workshop on Complex Systems Models and Their ApplicationsTowards a New Science of Verification, Validation and Uncertai Stephen Joseph Verzi, Asmeret Bier Naugle https://www.osti.gov/search/identifier:1366869	Conference Paper – 2016 Conference Paper	2016
Document Title	Type	Year

Results 26–50 of 90

Publications

Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams

Complexity metrics for Agent Based Models of Social Systems

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication

Computing with Spikes: The Advantage of Fine-grained Timing

Neural-inspired Anomaly Detection

A Multi-tiered Complexity Metric

Neural-Inspired Anomaly Detection

Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms

A Case Study on Neural Inspired Dynamic Memory Management Strategies for High Performance Computing

Moving Target Defense, Cyber Systems, and Complexity

A Spike-Timing Neuromorphic Architecture

Keeping the brain in brain-inspired computing: Test and Evaluation for MICrONS

Steep Deep Spiking Networks

Optimization-based computation with spiking neurons

Optimization-based Computation with Spiking Neurons

Recommended Research Directions for Improving the Validation of Complex Systems Models

PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense

Optimization-based computation with spiking neurons

Optimization-based computation with spiking neurons

A neurally inspired spiking temporal processing unit computational architecture

A Framework for Analysis of Attacker-Defender Interaction in Cyber Systems

PLADD: Deterring Attacks on Cyber Systems and Moving Target Defense

CSVVUQ Workshop Footprint_20160728

Overcoming the Static Learning Bottleneck - the Need for Adaptive Neural Learning

Model/Use Characteristics that Can Challenge Current VVUQ: Building Credible Models