Catherine D. Schuman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
15
Active years
2009–2025
Best venue rank
B
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ASPDAC | AI-Guided Codesign for Novel Computing Paradigms. | Suma George Cardwell, J. Darby Smith, Karan Patel, Andrew Maicke, Jared Arzate, Samuel Liu, Jaesuk Kwon, Christopher Allemang, Douglas Cale Crowder, Shashank Misra, Frances S. Chance, Catherine D. Schuman, Jean Anne C. Incorvia, James Bradley Aimone |
| 2025 | ICCS | Energy-Efficient Neural Network Training for Scientific Datasets with Advanced Similarity Analytics and Orchestration. | Kin Wai Ng, Orcun Yildiz, Tom Peterka, Florence Tama, Osamu Miyashita, Catherine D. Schuman, Michela Taufer |
| 2025 | IJCNN | Evolving Collective Robot Swarm Behavior in Neuromorphic Systems. | Andrew Friend, Meghan Brandt, Luke McCombs, James S. Plank, Catherine D. Schuman |
| 2025 | IJCNN | Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. | James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon |
| 2024 | ISCAS | Device Codesign using Reinforcement Learning. | Suma George Cardwell, Karan Patel, Catherine D. Schuman, J. Darby Smith, Jaesuk Kwon, Andrew Maicke, Jared Arzate, Jean Anne C. Incorvia |
| 2023 | ACSSC | Evaluating Neuron Models through Application-Hardware Co-Design. | Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose |
| 2023 | CLUSTER | VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. | Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer |
| 2023 | ICMLA | Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. | Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman |
| 2023 | ICPP | Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. | Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Cano-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer |
| 2022 | SC | Neuromorphic Computing for Scientific Applications. | Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman |
| 2021 | CEC | Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. | Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman |
| 2021 | IJCNN | A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. | Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell |
| 2020 | IJCNN | GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. | Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer |
| 2020 | IJCNN | 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 |
| 2020 | IJCNN | Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. | Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton |
| 2020 | IJCNN | Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. | Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok |
| 2020 | IJCNN | Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. | Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman |
| 2019 | GECCO | Island model for parallel evolutionary optimization of spiking neuromorphic computing. | Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok |
| 2019 | ICASSP | Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. | Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok |
| 2019 | IJCNN | Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization. | John J. M. Reynolds, James S. Plank, Catherine D. Schuman |
| 2019 | IJCNN | Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems. | Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj |
| 2019 | SC | Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. | Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok |
| 2018 | IJCNN | Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. | Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank |
| 2018 | IJCNN | Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. | Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman |
| 2018 | ISCAS | High-Level Simulation for Spiking Neuromorphic Computing Systems. | Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose |
| 2018 | SC | 167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. | Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, Sergei V. Kalinin |
| 2017 | IJCNN | Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture. | Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman |
| 2017 | IJCNN | The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation. | Catherine D. Schuman |
| 2016 | IJCNN | An Application Development Platform for neuromorphic computing. | Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, Catherine D. Schuman |
| 2016 | IJCNN | An evolutionary optimization framework for neural networks and neuromorphic architectures. | Catherine D. Schuman, James S. Plank, Adam Disney, John Reynolds |
| 2016 | SC | A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. | Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Federico M. Spedalieri, Jeremy Liu, Ke-Thia Yao, Garrett S. Rose, Gangotree Chakma |
| 2016 | SC | Parallel Evolutionary Optimization for Neuromorphic Network Training. | Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank |
| 2015 | SC | Dynamic adaptive neural network arrays: a neuromorphic architecture. | Catherine D. Schuman, Adam Disney, John Reynolds |
| 2014 | UC | Dynamic Adaptive Neural Network Array. | Mark E. Dean, Catherine D. Schuman, J. Douglas Birdwell |
| 2012 | DSN | Heuristics for optimizing matrix-based erasure codes for fault-tolerant storage systems. | James S. Plank, Catherine D. Schuman, B. Devin Robison |
| 2009 | FAST | A Performance Evaluation and Examination of Open-Source Erasure Coding Libraries for Storage. | James S. Plank, Jianqiang Luo, Catherine D. Schuman, Lihao Xu, Zooko Wilcox-O'Hearn |