Abelian Square-Free Partial Words. - Francine Blanchet-Sadri; Jane I. Kim; Robert Mercas; William Severa; Sean Simmons 001 (LATA, 2010)

Avoiding abelian squares in partial words. - Francine Blanchet-Sadri; Jane I. Kim; Robert Mercas; William Severa; Sean Simmons 001; Dimin Xu (J. Comb. Theory A, 2012)

Spiking network algorithms for scientific computing. - William Severa; Ojas Parekh; Kristofor D. Carlson; Conrad D. James; James B. Aimone (ICRC, 2016)

A Spike-Timing Neuromorphic Architecture. - Aaron J. Hill; Jonathon W. Donaldson; Fredrick H. Rothganger; Craig M. Vineyard; David R. Follett; Pamela L. Follett; Michael R. Smith 002; Stephen J. Verzi; William Severa; Felix Wang; James B. Aimone; John H. Naegle; et al. (ICRC, 2017)

Neurogenesis deep learning: Extending deep networks to accommodate new classes. - Timothy J. Draelos; Nadine E. Miner; Christopher C. Lamb; Jonathan A. Cox; Craig M. Vineyard; Kristofor D. Carlson; William M. Severa; Conrad D. James; James B. Aimone (IJCNN, 2017)

Neural computing for scientific computing applications: more than just machine learning. - James B. Aimone; Ojas Parekh; William Severa (NCS, 2017)

Data-driven Feature Sampling for Deep Hyperspectral Classification and Segmentation. - William M. Severa; Jerilyn A. Timlin; Suraj Kholwadwala; Conrad D. James; James B. Aimone (CoRR, 2017)

Context-modulation of hippocampal dynamics and deep convolutional networks. - James B. Aimone; William M. Severa (CoRR, 2017)

A Combinatorial Model for Dentate Gyrus Sparse Coding. - William Severa; Ojas Parekh; Conrad D. James; James B. Aimone (Neural Comput., 2017)

Spiking Neural Algorithms for Markov Process Random Walk. - William Severa; Rich Lehoucq; Ojas Parekh; James B. Aimone (IJCNN, 2018)

Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (CoRR, 2018)

Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future. - Jeffrey L. Krichmar; William Severa; Salar M. Khan; James Leland Olds (CoRR, 2018)

Dynamic Programming with Spiking Neural Computing. - James B. Aimone; Ojas Parekh; Cynthia A. Phillips; Ali Pinar; William Severa; Helen Xu 001 (ICONS, 2019)

Composing neural algorithms with Fugu. - James B. Aimone; William Severa; Craig M. Vineyard (ICONS, 2019)

Benchmarking Event-Driven Neuromorphic Architectures. - Craig M. Vineyard; Sam Green; William M. Severa; Çetin Kaya Koç (ICONS, 2019)

Training deep neural networks for binary communication with the Whetstone method. - William Severa; Craig M. Vineyard; Ryan Dellana; Stephen J. Verzi; James B. Aimone (Nat. Mach. Intell., 2019)

Effective Pruning of Binary Activation Neural Networks. - William Severa; Ryan Dellana; Craig M. Vineyard (ICONS, 2020)

Solving a steady-state PDE using spiking networks and neuromorphic hardware. - J. Darby Smith; William Severa; Aaron J. Hill; Leah Reeder; Brian Franke; Richard B. Lehoucq; Ojas D. Parekh; James B. Aimone (ICONS, 2020)

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. - Maryam Parsa; Catherine D. Schuman; Prasanna Date; Derek C. Rose; Bill Kay; J. Parker Mitchell; Steven R. Young; Ryan Dellana; William Severa; Thomas E. Potok; Kaushik Roy 001 (IJCNN, 2020)

Evaluating complexity and resilience trade-offs in emerging memory inference machines. - Christopher H. Bennett; Ryan Dellana; T. Patrick Xiao; Ben Feinberg; Sapan Agarwal; Suma Cardwell; Matthew J. Marinella; William Severa; Brad Aimone (NICE, 2020)

Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. - Suma George Cardwell; Craig M. Vineyard; William Severa; Frances S. Chance; Fredrick H. Rothganger; Felix Wang; Srideep Musuvathy; Corinne Teeter; James B. Aimone (SMC, 2020)

Provable Neuromorphic Advantages for Computing Shortest Paths. - James B. Aimone; Yang Ho; Ojas Parekh; Cynthia A. Phillips; Ali Pinar; William Severa; Yipu Wang (SPAA, 2020)

Spiking Neural Streaming Binary Arithmetic. - James B. Aimone; Aaron J. Hill; William M. Severa; Craig M. Vineyard (ICRC, 2021)

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling. - James B. Aimone; Richard B. Lehoucq; William Severa; J. Darby Smith (ICRC, 2021)

Provable Advantages for Graph Algorithms in Spiking Neural Networks. - James B. Aimone; Yang Ho; Ojas Parekh; Cynthia A. Phillips; Ali Pinar; William Severa; Yipu Wang (SPAA, 2021)

Neuromorphic scaling advantages for energy-efficient random walk computation. - J. Darby Smith; Aaron J. Hill; Leah E. Reeder; Brian C. Franke; Richard B. Lehoucq; Ojas Parekh; William Severa; James B. Aimone (CoRR, 2021)

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation. - William Severa; J. Darby Smith; James Bradley Aimone; Richard B. Lehoucq (ICONS, 2022)

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. - Craig M. Vineyard; Suma Cardwell; Frances S. Chance; Srideep Musuvathy; Fred Rothganger; William Severa; John Darby Smith; Corinne Teeter; Felix Wang; James B. Aimone (NICE, 2022)

A review of non-cognitive applications for neuromorphic computing. - James B. Aimone; Prasanna Date; Gabriel A. Fonseca Guerra; Kathleen E. Hamilton; Kyle Henke; Bill Kay; Garrett T. Kenyon; Shruti R. Kulkarni; Susan M. Mniszewski; Maryam Parsa; Sumedh R. Risbud; Catherine D. Schuman; et al. (Neuromorph. Comput. Eng., 2022)

Neuromorphic Population Evaluation using the Fugu Framework. - William Severa; Suma George Cardwell; Michael Krygier; Fredrick H. Rothganger; Craig Michael Vineyard (ICONS, 2023)

Synaptic Sampling of Neural Networks. - James B. Aimone; William Severa; J. Darby Smith (ICRC, 2023)

Stochastic Neuromorphic Circuits for Solving MAXCUT. - Bradley H. Theilman; Yipu Wang; Ojas Parekh; William Severa; J. Darby Smith; James B. Aimone (IPDPS, 2023)

Neuromorphic Co-Design as a Game. - Craig M. Vineyard; William M. Severa; James B. Aimone (CoRR, 2023)

Research Challenges for Energy-Efficient Computing in Automated Vehicles. - Robert P. Dick; Rob Aitken; Jace Mogill; John Paul Strachan; Kirk Bresniker; Wei Lu 003; Yorie Nakahira; Zhiyong Li; Matthew J. Marinella; William Severa; A. Alec Talin; Craig M. Vineyard; et al. (Computer, 2023)

Strategic Considerations for Neuromorphic Computing. - Craig M. Vineyard; William M. Severa; James B. Aimone (ICONS, 2024)

Using STACS as a High-Performance Simulation Backend for Fugu. - Felix Wang; William Severa (ICONS, 2024)

The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. - Manh V. Nguyen; Liang Zhao; Bobin Deng; William Severa; Honghui Xu; Shaoen Wu (IPCCC, 2024)

AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing. - Ashish Gautam; Robert M. Patton; Thomas E. Potok; Ramakrishnan Kannan; James B. Aimone; William Severa (ACM Great Lakes Symposium on VLSI, 2025)

Benchmarking Spiking Network Partitioning Methods on Loihi 2. - William Severa; Felix Wang; Yang Ho; Fred Rothganger; Anurag Reddy Daram; Efrain Gonzalez (ACM Great Lakes Symposium on VLSI, 2025)