Catherine D. Schuman

According to our database, Catherine D. Schuman authored at least 116 papers between 2009 and 2024.

Collaborative distances:

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2024

Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing.

Charles P. Rizzo, Catherine D. Schuman, James S. Plank

CoRR, 2024

2023

Avoiding excess computation in asynchronous evolutionary algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong

Expert Syst. J. Knowl. Eng., June, 2023

Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge.

Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Amelie L. Nagle, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum

CoRR, 2023

Spike-based Neuromorphic Computing for Next-Generation Computer Vision.

Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose

CoRR, 2023

A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron.

Md. Mazharul Islam, Shamiul Alam, Catherine D. Schuman, Md. Shafayat Hossain, Ahmedullah Aziz

CoRR, 2023

Functional Specification of the RAVENS Neuroprocessor.

Adam Z. Foshie, James S. Plank, Garrett S. Rose, Catherine D. Schuman

CoRR, 2023

Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks.

Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose

CoRR, 2023

Benchmarking the human brain against computational architectures.

Céline van Valkenhoef, Catherine D. Schuman, Philip Walther

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Neuromorphic Downsampling of Event-Based Camera Output.

Charles Rizzo, Catherine D. Schuman, James S. Plank

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic Systems.

Karan P. Patel, Catherine D. Schuman

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

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 Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Impact of Neuron Firing Rate on Application and Algorithm Performance.

Lillian Sharpe, Julia Steed, Md. Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques.

Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.

Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector.

James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware.

Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

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

Proceedings of the International Conference on Machine Learning and Applications, 2023

VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology.

Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer

Proceedings of the IEEE International Conference on Cluster Computing, 2023

Evaluating Neuron Models through Application-Hardware Co-Design.

Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

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, William Severa, J. Darby Smith

Neuromorph. Comput. Eng., June, 2022

Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies.

Scott Pakin, Christof Teuscher, Catherine D. Schuman

IEEE Trans. Parallel Distributed Syst., 2022

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators.

Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell

IEEE Trans. Control. Syst. Technol., 2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

Catherine D. Schuman, Robert M. Patton, Shruti R. Kulkarni, Maryam Parsa, Christopher G. Stahl, Nicholas Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield, Thomas E. Potok

Neuromorph. Comput. Eng., 2022

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Opportunities for neuromorphic computing algorithms and applications.

Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay

Nat. Comput. Sci., 2022

Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System.

Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim

ACM J. Emerg. Technol. Comput. Syst., 2022

Disclosure of a Neuromorphic Starter Kit.

James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman

CoRR, 2022

Biological connectomes as a representation for the architecture of artificial neural networks.

Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa

CoRR, 2022

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

CoRR, 2022

The Case for RISP: A Reduced Instruction Spiking Processor.

James S. Plank, Chaohui Zheng, Bryson Gullett, Nicholas D. Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose

CoRR, 2022

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

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications.

Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose

Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers.

Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation.

Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne Incorvia, James B. Aimone

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Training reinforcement learning models via an adversarial evolutionary algorithm.

Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems.

Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas D. Skuda, James S. Plank

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Event-Based Camera Simulation Wrapper for Arcade Learning Environment.

Charles Rizzo, Catherine D. Schuman, James S. Plank

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Neuromorphic Algorithm for Radiation Anomaly Detection.

James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Neuromorphic Computing is Turing-Complete.

Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Semi-Supervised Graph Structure Learning on Neuromorphic Computers.

Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets.

Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware.

Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat, Catherine D. Schuman, Garrett S. Rose

ACM J. Emerg. Technol. Comput. Syst., 2021

Stochasticity and robustness in spiking neural networks.

Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady

Neurocomputing, 2021

Benchmarking the performance of neuromorphic and spiking neural network simulators.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Neurocomputing, 2021

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion.

Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell

IEEE Control. Syst. Lett., 2021

An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment.

James S. Plank, Catherine D. Schuman, Robert M. Patton

CoRR, 2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong

Proceedings of the Advances in Computational Intelligence Systems, 2021

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers.

Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

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

Proceedings of the International Joint Conference on Neural Networks, 2021

Spiking Neuromorphic Networks for Binary Tasks.

James S. Plank, Chaohui Zheng, Catherine D. Schuman, Christopher Dean

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Neuromorphic Computing for Autonomous Racing.

Robert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.

Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator.

J. Parker Mitchell, Catherine D. Schuman

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation.

Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow.

Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Computational Complexity of Neuromorphic Algorithms.

Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge.

Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul

Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Accelerating Scientific Computing in the Post-Moore's Era.

Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble

ACM Trans. Parallel Comput., 2020

Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks.

Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis

CoRR, 2020

Training Spiking Neural Networks Using Combined Learning Approaches.

Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems.

Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Evolutionary Optimization for Neuromorphic Systems.

Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Caspian: A Neuromorphic Development Platform.

J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees.

Bill Kay, Prasanna Date, Catherine D. Schuman

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs.

J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok

Proceedings of the International Conference on Neuromorphic Systems, 2020

Spike-based graph centrality measures.

Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2020

Modeling epidemic spread with spike-based models.

Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2020

Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks.

Daniel Elbrecht, Catherine D. Schuman

Proceedings of the International Conference on Neuromorphic Systems, 2020

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.

Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019

Efficiently embedding QUBO problems on adiabatic quantum computers.

Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok

Quantum Inf. Process., 2019

Spike-based primitives for graph algorithms.

Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman

CoRR, 2019

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks.

Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

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

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems.

Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj

Proceedings of the International Joint Conference on Neural Networks, 2019

Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization.

John J. M. Reynolds, James S. Plank, Catherine D. Schuman

Proceedings of the International Joint Conference on Neural Networks, 2019

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

Proceedings of the IEEE International Conference on Acoustics, 2019

Island model for parallel evolutionary optimization of spiking neuromorphic computing.

Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolving Energy Efficient Convolutional Neural Networks.

Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exascale Deep Learning to Accelerate Cancer Research.

Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems.

Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visualization System for Evolutionary Neural Networks for Deep Learning.

Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

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

ACM J. Emerg. Technol. Comput. Syst., 2018

Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level.

Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Adiabatic Quantum Computation Applied to Deep Learning Networks.

Jeremy Liu, Federico M. Spedalieri, Ke-Thia Yao, Thomas E. Potok, Catherine D. Schuman, Steven R. Young, Robert M. Patton, Garrett S. Rose, Gangotree Chakma

Entropy, 2018

A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems.

Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, Sung Kyu Lim

Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

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

Proceedings of the International Conference for High Performance Computing, 2018

High-Level Simulation for Spiking Neuromorphic Computing Systems.

Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Neural Networks and Graph Algorithms with Next-Generation Processors.

Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Neena Imam, Travis S. Humble

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Design of Superconducting Optoelectronic Networks for Neuromorphic Computing.

Sonia M. Buckley, Adam N. McCaughan, Jeff Chiles, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline, Grant Bruer, James S. Plank, Catherine D. Schuman

Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices.

Gangotree Chakma, Nicholas D. Skuda, Catherine D. Schuman, James S. Plank, Mark E. Dean, Garrett S. Rose

Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems.

Ryan Weiss, Joseph S. Najem, Md Sakib Hasan, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, Garrett S. Rose

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

A Survey of Neuromorphic Computing and Neural Networks in Hardware.

Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank

CoRR, 2017

Evaluating online-learning in memristive neuromorphic circuits.

Austin Wyer, Md Musabbir Adnan, Bon Woong Ku, Sung Kyu Lim, Catherine D. Schuman, Raphael C. Pooser, Garrett S. Rose

Proceedings of the Neuromorphic Computing Symposium, 2017

Neuromorphic computing for temporal scientific data classification.

Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose

Proceedings of the Neuromorphic Computing Symposium, 2017

A programming framework for neuromorphic systems with emerging technologies.

Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation.

Catherine D. Schuman

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture.

Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications.

James S. Plank, Garrett S. Rose, Mark E. Dean, Catherine D. Schuman, Nathaniel C. Cady

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

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

Proceedings of the 2nd Workshop on Machine Learning in HPC Environments, 2016

An evolutionary optimization framework for neural networks and neuromorphic architectures.

Catherine D. Schuman, James S. Plank, Adam Disney, John Reynolds

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Dynamic adaptive neural network arrays: a neuromorphic architecture.

Catherine D. Schuman, Adam Disney, John Reynolds

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

2014

Dynamic Adaptive Neural Network Array.

Mark E. Dean, Catherine D. Schuman, J. Douglas Birdwell

Proceedings of the Unconventional Computation and Natural Computation, 2014

Visual analytics for neuroscience-inspired dynamic architectures.

Margaret Drouhard, Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean

Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

Spatiotemporal Classification Using Neuroscience-Inspired Dynamic Architectures.

Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean

Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

2012

Heuristics for optimizing matrix-based erasure codes for fault-tolerant storage systems.

James S. Plank, Catherine D. Schuman, B. Devin Robison

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks, 2012

2009

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

Proceedings of the 7th USENIX Conference on File and Storage Technologies, 2009