Catherine D. Schuman

170 papers A 3B 19C 4Misc 2Journal 53Unranked 83

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Guided Codesign for Novel Computing Paradigms. ASP-DAC 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	—	`conf`	An Exploration of a Heterogeneous Neural Configuration of SNNs. ACM Great Lakes Symposium on VLSI George Evans, Karan P. Patel, Catherine D. Schuman, Garrett S. Rose, Srutarshi Banerjee, Hritom Das
2025	J	`jnl`	Energy-Efficient Cryogenic Neuromorphic Network with Superconducting Memristor. CoRR Md. Mazharul Islam, Julia Steed, Karan Patel, Catherine D. Schuman, Ahmedullah Aziz
2025	—	`conf`	Energy-Efficient Neural Network Training for Scientific Datasets with Advanced Similarity Analytics and Orchestration. ICCS (1) Kin Wai Ng, Orcun Yildiz, Tom Peterka, Florence Tama, Osamu Miyashita, Catherine D. Schuman, Michela Taufer
2025	—	`conf`	Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control. NICE Karan Patel, Ethan Maness, Tyler Nitzsche, Emma G. Brown, Brett Witherspoon, Aaron R. Young, Bryan P. Maldonado, Brian C. Kaul, James S. Plank, Catherine D. Schuman
2025	B	`conf`	Evolving Collective Robot Swarm Behavior in Neuromorphic Systems. IJCNN Andrew Friend, Meghan Brandt, Luke McCombs, James S. Plank, Catherine D. Schuman
2025	B	`conf`	Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. IJCNN James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon
2025	J	`jnl`	Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. CoRR James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon
2025	—	`conf`	Generating Spiking Neural Network Code Libraries for Embedded Systems. ICONS Bryson Gullett, Jackson Mowry, James S. Plank, Luke Whatley, Charles P. Rizzo, Catherine D. Schuman
2025	—	`conf`	NAP: Neuromorphic Artificial Pancreas. ICONS Charles P. Rizzo, Daniel Mallett, Maria Hernandez Rivero, Jamin Hanna, Chris White, Steven Dao, Jonathan Tran, Bryson Gullett, Catherine D. Schuman, James S. Plank
2025	J	`jnl`	NeuroPong: the event-based camera driven embedded neuromorphic system. Neuromorph. Comput. Eng. Charles P. Rizzo, Bryson Gullett, Alex M. Crumley, Maxwell E. Marcum, Mason R. Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D. Schuman, James S. Plank
2025	—	`conf`	SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning. ICONS Tokey Tahmid, Mark Gates, Piotr Luszczek, Catherine D. Schuman
2025	J	`jnl`	SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning. CoRR Tokey Tahmid, Mark Gates, Piotr Luszczek, Catherine D. Schuman
2025	—	`conf`	Vibe2Spike: Batteryless Wireless Tags for Vibration Sensing with Event Cameras and Spiking Networks. ICONS Danny Scott, William LaForest, Hritom Das, Ioannis Polykretis, Catherine D. Schuman, Charles Rizzo, James S. Plank, Sai Swaminathan
2025	J	`jnl`	Vibe2Spike: Batteryless Wireless Tags for Vibration Sensing with Event Cameras and Spiking Networks. CoRR Danny Scott, William LaForest, Hritom Das, Ioannis Polykretis, Catherine D. Schuman, Charles Rizzo, James S. Plank, Sai Swaminathan
2024	—	`conf`	A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures. ISVLSI Hritom Das, Nishith N. Chakraborty, Manu Rathore, Sk Hasibul Alam, Catherine D. Schuman, Garrett S. Rose
2024	J	`jnl`	AI-Guided Codesign Framework for Novel Material and Device Design applied to MTJ-based True Random Number Generators. CoRR Karan P. Patel, Andrew Maicke, Jared Arzate, Jaesuk Kwon, J. Darby Smith, James B. Aimone, Jean Anne C. Incorvia, Suma George Cardwell, Catherine D. Schuman
2024	—	`conf`	Black-Box Adversarial Attacks on Spiking Neural Network for Time Series Data. ICONS Jack Hutchins, Diego Ferrer, James Fillers, Catherine D. Schuman
2024	—	`conf`	Competitive Co-Evolution with Spiking Neural Networks. ICONS Luke McCombs, Drew Friend, Luke Whatley, Catherine D. Schuman
2024	C	`conf`	Device Codesign using Reinforcement Learning. ISCAS Suma George Cardwell, Karan Patel, Catherine D. Schuman, J. Darby Smith, Jaesuk Kwon, Andrew Maicke, Jared Arzate, Jean Anne C. Incorvia
2024	—	`conf`	Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control. NICE Catherine D. Schuman, Charles P. Rizzo, Garrett S. Rose, James S. Plank
2024	—	`conf`	Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM Array. NICE Ashwani Kumar, Jaeseoung Park, Yucheng Zhou, Jeong-Hoon Kim, Soumil Jain, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum
2024	—	`conf`	Evaluation of Ferroelectric Devices for Neuromorphic Applications. ICRC Julia Steed, Sebastien J. Boussard, Andreu L. Glasmann, Sina Najmaei, James S. Plank, Catherine D. Schuman
2024	—	`conf`	Evaluation of Neuron Parameters on the Performance of Spiking Neural Networks and Neuromorphic Hardware. ISVLSI Catherine D. Schuman, Hritom Das, Garrett S. Rose, James S. Plank
2024	—	`conf`	Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
2024	—	`conf`	Exploration of Novel Neuromorphic Methodologies for Materials Applications. ICONS Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa
2024	J	`jnl`	Exploration of Novel Neuromorphic Methodologies for Materials Applications. CoRR Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa
2024	J	`jnl`	Focus on benchmarks for neuromorphic computing. Neuromorph. Comput. Eng. Terrence C. Stewart, Catherine D. Schuman, Yulia Sandamirskaya, Steve B. Furber, Giacomo Indiveri
2024	J	`jnl`	Hardware software co-design for leveraging STDP in a memristive neuroprocessor. Neuromorph. Comput. Eng. Nishith N. Chakraborty, Shelah Ameli, Hritom Das, Catherine D. Schuman, Garrett S. Rose
2024	—	`conf`	Hardware-Application Co-Design to Evaluate the Performance of an STDP-based Reservoir Computer. ISVLSI Hritom Das, Karan P. Patel, Shelah Ameli, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose
2024	—	`conf`	Optimization of Magnetic Tunneling Junction Devices for Neuromorphic Circuits for Solving MAXCUT. ICRC Ian Mulet, Bradley H. Theilman, Karan P. Patel, Jared Arzate, Andrew Maicke, J. Darby Smith, James B. Aimone, Suma Cardwell, Jean Anne C. Incorvia, Catherine D. Schuman
2024	—	`conf`	SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. ICONS Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman
2024	J	`jnl`	Scaling neural simulations in STACS. Neuromorph. Comput. Eng. Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
2024	J	`jnl`	Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing. CoRR Charles P. Rizzo, Catherine D. Schuman, James S. Plank
2024	—	`conf`	The RISP Neuroprocessor - Open Source Support for Embedded Neuromorphic Computing. ICRC James S. Plank, Keegan E. M. Dent, Bryson Gullett, Charles P. Rizzo, Catherine D. Schuman
2024	—	`conf`	Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks. ICONS Tokey Tahmid, Mark Gates, Piotr Luszczek, Catherine D. Schuman
2024	—	`conf`	Transductive Spiking Graph Neural Networks for Loihi. ACM Great Lakes Symposium on VLSI Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
2024	J	`jnl`	Transductive Spiking Graph Neural Networks for Loihi. CoRR Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
2023	J	`jnl`	A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron. CoRR Md. Mazharul Islam, Shamiul Alam, Catherine D. Schuman, Md. Shafayat Hossain, Ahmedullah Aziz
2023	—	`conf`	Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. ICONS Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman
2023	J	`jnl`	Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
2023	J	`jnl`	Benchmarking the human brain against computational architectures. CoRR Céline van Valkenhoef, Catherine D. Schuman, Philip Walther
2023	B	`conf`	Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. ICPP Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer
2023	—	`conf`	DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS Charles Rizzo, Luke McCombs, Braxton Haynie, Catherine D. Schuman, James S. Plank
2023	J	`jnl`	Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks. CoRR Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose
2023	Misc	`conf`	Evaluating Neuron Models through Application-Hardware Co-Design. ACSSC Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose
2023	J	`jnl`	Functional Specification of the RAVENS Neuroprocessor. CoRR Adam Z. Foshie, James S. Plank, Garrett S. Rose, Catherine D. Schuman
2023	C	`conf`	Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman
2023	—	`conf`	Impact of Neuron Firing Rate on Application and Algorithm Performance. ICONS Lillian Sharpe, Julia Steed, Md. Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman
2023	—	`conf`	Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic Systems. NICE Karan P. Patel, Catherine D. Schuman
2023	J	`jnl`	Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge. CoRR 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
2023	J	`jnl`	NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR 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, P. 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
2023	—	`conf`	Neuromorphic Downsampling of Event-Based Camera Output. NICE Charles Rizzo, Catherine D. Schuman, James S. Plank
2023	—	`conf`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 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
2023	J	`jnl`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR 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
2023	—	`conf`	Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel
2023	—	`ed.`	Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023 ICONS Catherine D. Schuman, Melika Payvand, Maryam Parsa
2023	—	`ed.`	Proceedings of the 20th ACM International Conference on Computing Frontiers, CF 2023, Bologna, Italy, May 9-11, 2023 CF Andrea Bartolini, Kristian F. D. Rietveld, Catherine D. Schuman, Jose Moreira
2023	J	`jnl`	Spike-based Neuromorphic Computing for Next-Generation Computer Vision. CoRR Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose
2023	—	`conf`	VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. CLUSTER Workshops Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer
2022	—	`conf`	A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. NICE Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose
2022	B	`conf`	A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. e-Science Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer
2022	—	`conf`	A Neuromorphic Algorithm for Radiation Anomaly Detection. ICONS James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman
2022	J	`jnl`	A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 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
2022	J	`jnl`	Biological connectomes as a representation for the architecture of artificial neural networks. CoRR Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa
2022	J	`jnl`	Disclosure of a Neuromorphic Starter Kit. CoRR James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman
2022	J	`jnl`	Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2022	—	`conf`	Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems. ICONS Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas D. Skuda, James S. Plank
2022	—	`conf`	Event-Based Camera Simulation Wrapper for Arcade Learning Environment. ICONS Charles Rizzo, Catherine D. Schuman, James S. Plank
2022	J	`jnl`	Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 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
2022	J	`jnl`	Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies. IEEE Trans. Parallel Distributed Syst. Scott Pakin, Christof Teuscher, Catherine D. Schuman
2022	—	`ed.`	ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022 ICONS Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson
2022	—	`conf`	Neuromorphic Computing for Scientific Applications. RSDHA@SC 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
2022	—	`conf`	Neuromorphic Computing is Turing-Complete. ICONS Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay
2022	J	`jnl`	Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. IEEE Trans. Control. Syst. Technol. Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
2022	J	`jnl`	Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
2022	—	`conf`	Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone
2022	J	`jnl`	Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone
2022	J	`jnl`	Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
2022	—	`conf`	Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman
2022	J	`jnl`	The Case for RISP: A Reduced Instruction Spiking Processor. CoRR James S. Plank, Chaohui Zheng, Bryson Gullett, Nicholas D. Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose
2022	—	`conf`	Training reinforcement learning models via an adversarial evolutionary algorithm. ICPP Workshops Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton
2022	J	`jnl`	Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System. ACM J. Emerg. Technol. Comput. Syst. Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim
2022	—	`conf`	Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2021	B	`conf`	A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. IJCNN Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell
2021	—	`conf`	Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS 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
2021	J	`jnl`	An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment. CoRR James S. Plank, Catherine D. Schuman, Robert M. Patton
2021	—	`conf`	Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong
2021	J	`jnl`	Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2021	—	`conf`	Computational Complexity of Neuromorphic Algorithms. ICONS Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
2021	J	`jnl`	Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware. ACM J. Emerg. Technol. Comput. Syst. Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat, Catherine D. Schuman, Garrett S. Rose
2021	—	`ed.`	ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021 ICONS Thomas E. Potok, Melika Payvand, Catherine D. Schuman, Prasanna Date, Mutsumi Kimura, Cory E. Merkel, Brad Aimone, Sonia M. Buckley, Yiran Chen, Gregory Cohen, Todd Hylton, Robert M. Patton, Robinson E. Pino, Garrett S. Rose
2021	—	`conf`	Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator. ICONS J. Parker Mitchell, Catherine D. Schuman
2021	B	`conf`	Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman
2021	—	`conf`	Neuromorphic Computing for Autonomous Racing. ICONS 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
2021	J	`jnl`	Neuromorphic Computing is Turing-Complete. CoRR Prasanna Date, Catherine D. Schuman, Bill Kay, Thomas E. Potok
2021	—	`conf`	Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. ICONS Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok
2021	C	`conf`	Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. ACC Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
2021	J	`jnl`	Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. IEEE Control. Syst. Lett. Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
2021	—	`conf`	Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge. IGSC (Workshops) Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul
2021	—	`conf`	Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok
2021	—	`conf`	Spiking Neuromorphic Networks for Binary Tasks. ICONS James S. Plank, Chaohui Zheng, Catherine D. Schuman, Christopher Dean
2021	J	`jnl`	Stochasticity and robustness in spiking neural networks. Neurocomputing Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
2021	—	`conf`	Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2020	—	`conf`	A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. ICONS J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok
2020	J	`jnl`	Accelerating Scientific Computing in the Post-Moore's Era. ACM Trans. Parallel Comput. Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble
2020	B	`conf`	Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok
2020	J	`jnl`	Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. CoRR Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis
2020	—	`conf`	Caspian: A Neuromorphic Development Platform. NICE J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
2020	—	`conf`	Evolutionary Optimization for Neuromorphic Systems. NICE Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank
2020	—	`conf`	Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
2020	B	`conf`	GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. IJCNN Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer
2020	B	`conf`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 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	J	`jnl`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR 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	—	`conf`	Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
2020	—	`conf`	Modeling epidemic spread with spike-based models. ICONS Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman
2020	J	`jnl`	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. CoRR Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
2020	—	`conf`	Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks. ICONS Daniel Elbrecht, Catherine D. Schuman
2020	—	`conf`	Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees. NICE Bill Kay, Prasanna Date, Catherine D. Schuman
2020	—	`ed.`	Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020 ICONS Thomas E. Potok, Catherine D. Schuman
2020	B	`conf`	Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
2020	B	`conf`	Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman
2020	—	`conf`	Spike-based graph centrality measures. ICONS Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman
2020	—	`conf`	Training Spiking Neural Networks Using Combined Learning Approaches. SSCI Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman
2019	—	`conf`	Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
2019	J	`jnl`	Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	Misc	`conf`	Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	J	`jnl`	Efficiently embedding QUBO problems on adiabatic quantum computers. Quantum Inf. Process. Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok
2019	—	`conf`	Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
2019	—	`conf`	Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 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
2019	J	`jnl`	Exascale Deep Learning to Accelerate Cancer Research. CoRR Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz
2019	—	`conf`	Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok
2019	B	`conf`	Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization. IJCNN John J. M. Reynolds, James S. Plank, Catherine D. Schuman
2019	—	`conf`	Island model for parallel evolutionary optimization of spiking neuromorphic computing. GECCO (Companion) Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok
2019	—	`conf`	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. UEMCON Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
2019	B	`conf`	Non-Traditional Input Encoding Schemes for Spiking Neuromorphic Systems. IJCNN Catherine D. Schuman, James S. Plank, Grant Bruer, Jeremy Anantharaj
2019	—	`ed.`	Proceedings of the International Conference on Neuromorphic Systems, ICONS 2019, Knoxville, Tennessee, USA, July 23-25, 2019 ICONS Thomas E. Potok, Catherine D. Schuman
2019	J	`jnl`	Spike-based primitives for graph algorithms. CoRR Kathleen E. Hamilton, Tiffany M. Mintz, Catherine D. Schuman
2019	J	`jnl`	Stochasticity and Robustness in Spiking Neural Networks. CoRR Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
2019	—	`conf`	Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
2018	A	`conf`	167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 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
2018	—	`conf`	A Soft-Matter Biomolecular Memristor Synapse for Neuromorphic Systems. BioCAS Ryan Weiss, Joseph S. Najem, Md Sakib Hasan, Catherine D. Schuman, Alex Belianinov, C. Patrick Collier, Stephen A. Sarles, Garrett S. Rose
2018	J	`jnl`	A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 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
2018	—	`conf`	A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems. SoCC Md Musabbir Adnan, Sagarvarma Sayyaparaju, Garrett S. Rose, Catherine D. Schuman, Bon Woong Ku, Sung Kyu Lim
2018	J	`jnl`	Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 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
2018	—	`conf`	Design of Superconducting Optoelectronic Networks for Neuromorphic Computing. ICRC 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
2018	—	`conf`	Energy and Area Efficiency in Neuromorphic Computing for Resource Constrained Devices. ACM Great Lakes Symposium on VLSI Gangotree Chakma, Nicholas D. Skuda, Catherine D. Schuman, James S. Plank, Mark E. Dean, Garrett S. Rose
2018	C	`conf`	High-Level Simulation for Spiking Neuromorphic Computing Systems. ISCAS Nicholas D. Skuda, Catherine D. Schuman, Gangotree Chakma, James S. Plank, Garrett S. Rose
2018	J	`jnl`	Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level. IEEE J. Emerg. Sel. Topics Circuits Syst. Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose
2018	—	`conf`	Neural Networks and Graph Algorithms with Next-Generation Processors. IPDPS Workshops Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Neena Imam, Travis S. Humble
2018	B	`conf`	Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. IJCNN Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman
2018	B	`conf`	Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. IJCNN Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank
2017	J	`jnl`	A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR 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
2017	J	`jnl`	A Survey of Neuromorphic Computing and Neural Networks in Hardware. CoRR Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank
2017	—	`conf`	A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications. ICRC James S. Plank, Garrett S. Rose, Mark E. Dean, Catherine D. Schuman, Nathaniel C. Cady
2017	—	`conf`	A programming framework for neuromorphic systems with emerging technologies. NANOCOM Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait
2017	—	`conf`	Evaluating online-learning in memristive neuromorphic circuits. NCS Austin Wyer, Md Musabbir Adnan, Bon Woong Ku, Sung Kyu Lim, Catherine D. Schuman, Raphael C. Pooser, Garrett S. Rose
2017	—	`conf`	Neuromorphic computing for temporal scientific data classification. NCS Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose
2017	B	`conf`	Structure-based fitness prediction for the variable-structure DANNA neuromorphic architecture. IJCNN Aleksander Klibisz, Grant Bruer, James S. Plank, Catherine D. Schuman
2017	B	`conf`	The effect of biologically-inspired mechanisms in spiking neural networks for neuromorphic implementation. IJCNN Catherine D. Schuman
2016	—	`conf`	A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC 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	B	`conf`	An Application Development Platform for neuromorphic computing. IJCNN Mark E. Dean, Jason Chan, Christopher Daffron, Adam Disney, John Reynolds, Garrett S. Rose, James S. Plank, J. Douglas Birdwell, Catherine D. Schuman
2016	B	`conf`	An evolutionary optimization framework for neural networks and neuromorphic architectures. IJCNN Catherine D. Schuman, James S. Plank, Adam Disney, John Reynolds
2016	—	`conf`	Parallel Evolutionary Optimization for Neuromorphic Network Training. MLHPC@SC Catherine D. Schuman, Adam Disney, Susheela P. Singh, Grant Bruer, J. Parker Mitchell, Aleksander Klibisz, James S. Plank
2015	—	`conf`	Dynamic adaptive neural network arrays: a neuromorphic architecture. MLHPC@SC Catherine D. Schuman, Adam Disney, John Reynolds
2014	—	`conf`	Dynamic Adaptive Neural Network Array. UCNC Mark E. Dean, Catherine D. Schuman, J. Douglas Birdwell
2014	—	`conf`	Spatiotemporal Classification Using Neuroscience-Inspired Dynamic Architectures. BICA Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean
2014	—	`conf`	Visual analytics for neuroscience-inspired dynamic architectures. FOCI Margaret Drouhard, Catherine D. Schuman, J. Douglas Birdwell, Mark E. Dean
2012	A	`conf`	Heuristics for optimizing matrix-based erasure codes for fault-tolerant storage systems. DSN James S. Plank, Catherine D. Schuman, B. Devin Robison
2009	A	`conf`	A Performance Evaluation and Examination of Open-Source Erasure Coding Libraries for Storage. FAST James S. Plank, Jianqiang Luo, Catherine D. Schuman, Lihao Xu, Zooko Wilcox-O'Hearn