Catherine D. Schuman

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 130

Top Venues

Publications

Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE (2024)
Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
Transductive Spiking Graph Neural Networks for Loihi. CoRR (2024)
Suma George Cardwell, Karan Patel, Catherine D. Schuman, J. Darby Smith, Jaesuk Kwon, Andrew Maicke, Jared Arzate, Jean Anne C. Incorvia
Device Codesign using Reinforcement Learning. ISCAS (2024)
Nishith N. Chakraborty, Shelah Ameli, Hritom Das, Catherine D. Schuman, Garrett S. Rose
Hardware software co-design for leveraging STDP in a memristive neuroprocessor. Neuromorph. Comput. Eng. 4 (2) (2024)
Catherine D. Schuman, Charles P. Rizzo, Garrett S. Rose, James S. Plank
Embracing the Hairball: An Investigation of Recurrence in Spiking Neural Networks for Control. NICE (2024)
Ashwani Kumar, Jaeseoung Park, Yucheng Zhou, Jeong-Hoon Kim, Soumil Jain, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum
Energy Efficient Implementation of MVM Operations Using Filament-Free Bulk RRAM Array. NICE (2024)
Shay Snyder, Victoria Clerico, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Sumedh R. Risbud, Maryam Parsa
Transductive Spiking Graph Neural Networks for Loihi. ACM Great Lakes Symposium on VLSI (2024)
Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
Scaling neural simulations in STACS. Neuromorph. Comput. Eng. 4 (2) (2024)
Charles P. Rizzo, Catherine D. Schuman, James S. Plank
Speed-based Filtration and DBSCAN of Event-based Camera Data with Neuromorphic Computing. CoRR (2024)
Derek Gobin, Shay Snyder, Guojing Cong, Shruti R. Kulkarni, Catherine D. Schuman, Maryam Parsa
Exploration of Novel Neuromorphic Methodologies for Materials Applications. CoRR (2024)
Catherine D. Schuman, Hritom Das, James S. Plank, Ahmedullah Aziz, Garrett S. Rose
Evaluating Neuron Models through Application-Hardware Co-Design. ACSSC (2023)
Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer
VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. CLUSTER Workshops (2023)
Md Sakib Hasan, Catherine D. Schuman, Zhongyang Zhang, Tauhidur Rahman, Garrett S. Rose
Spike-based Neuromorphic Computing for Next-Generation Computer Vision. CoRR (2023)
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
Multi-level, Forming Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge. CoRR (2023)
Hritom Das, Nishith N. Chakraborty, Catherine D. Schuman, Garrett S. Rose
Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks. CoRR (2023)
Céline van Valkenhoef, Catherine D. Schuman, Philip Walther
Benchmarking the human brain against computational architectures. CoRR (2023)
Charles Rizzo, Luke Mccombs, Braxton Haynie, Catherine D. Schuman, James S. Plank
DVSGesture Recognition with Neuromorphic Observation Space Reduction Techniques. ICONS (2023)
Georgia Channing, Ria Patel, Paula Olaya, Ariel Keller Rorabaugh, Osamu Miyashita, Silvina Caíno-Lores, Catherine D. Schuman, Florence Tama, Michela Taufer
Composable Workflow for Accelerating Neural Architecture Search Using In Situ Analytics for Protein Classification. ICPP (2023)
Lillian Sharpe, Julia Steed, Md Mazharul Islam, Ahmedullah Aziz, Catherine D. Schuman
Impact of Neuron Firing Rate on Application and Algorithm Performance. ICONS (2023)
Karan P. Patel, Catherine D. Schuman
Impact of Noisy Input on Evolved Spiking Neural Networks for Neuromorphic Systems. NICE (2023)
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
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR (2023)
Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman
Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA (2023)
Charles Rizzo, Catherine D. Schuman, James S. Plank
Neuromorphic Downsampling of Event-Based Camera Output. NICE (2023)
Adam Z. Foshie, James S. Plank, Garrett S. Rose, Catherine D. Schuman
Functional Specification of the RAVENS Neuroprocessor. CoRR (2023)
Md Mazharul Islam, Shamiul Alam, Catherine D. Schuman, Md. Shafayat Hossain, Ahmedullah Aziz
A Deep Dive into the Design Space of a Dynamically Reconfigurable Cryogenic Spiking Neuron. CoRR (2023)
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
Avoiding excess computation in asynchronous evolutionary algorithms. Expert Syst. J. Knowl. Eng. 40 (5) (2023)
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
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS (2023)
James Ghawaly, Aaron Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel
Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS (2023)
Shelah Ameli, Adam Z. Foshie, Drew Friend, James S. Plank, Garrett S. Rose, Catherine D. Schuman
Algorithm and Application Impacts of Programmable Plasticity in Spiking Neuromorphic Hardware. ICONS (2023)
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 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
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose
A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. NICE (2022)
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
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. ICRC (2022)
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. IEEE Trans. Control. Syst. Technol. 30 (6) (2022)
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2 (1) (2022)
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR (2022)
Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton
Training reinforcement learning models via an adversarial evolutionary algorithm. ICPP Workshops (2022)
Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Prasanna Date, Bill Kay
Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. Nat. Comput. Sci. 2 (3) (2022)
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
A review of non-cognitive applications for neuromorphic computing. Neuromorph. Comput. Eng. 2 (2) (2022)
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
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. CoRR (2022)
Scott Pakin, Christof Teuscher, Catherine D. Schuman
Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
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
Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 2 (1) (2022)
Bon Woong Ku, Catherine D. Schuman, Md Musabbir Adnan, Tiffany M. Mintz, Raphael C. Pooser, Kathleen E. Hamilton, Garrett S. Rose, Sung Kyu Lim
Unsupervised Digit Recognition Using Cosine Similarity In A Neuromemristive Competitive Learning System. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Samuel Schmidgall, Catherine D. Schuman, Maryam Parsa
Biological connectomes as a representation for the architecture of artificial neural networks. CoRR (2022)
Catherine D. Schuman, Charles Rizzo, John McDonald-Carmack, Nicholas D. Skuda, James S. Plank
Evaluating Encoding and Decoding Approaches for Spiking Neuromorphic Systems. ICONS (2022)
James Ghawaly, Aaron Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman
A Neuromorphic Algorithm for Radiation Anomaly Detection. ICONS (2022)
James S. Plank, Bryson Gullett, Adam Z. Foshie, Garrett S. Rose, Catherine D. Schuman
Disclosure of a Neuromorphic Starter Kit. CoRR (2022)
Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay
Neuromorphic Computing is Turing-Complete. ICONS (2022)
Ria Patel, Ariel Keller Rorabaugh, Paula Olaya, Silvina Caíno-Lores, Georgia Channing, Catherine D. Schuman, Osamu Miyashita, Florence Tama, Michela Taufer
A Methodology to Generate Efficient Neural Networks for Classification of Scientific Datasets. e-Science (2022)
Charles Rizzo, Catherine D. Schuman, James S. Plank
Event-Based Camera Simulation Wrapper for Arcade Learning Environment. ICONS (2022)
Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman
Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS (2022)
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
Neuromorphic Computing for Scientific Applications. RSDHA@SC (2022)
James S. Plank, Chaohui Zheng, Bryson Gullett, Nicholas D. Skuda, Charles Rizzo, Catherine D. Schuman, Garrett S. Rose
The Case for RISP: A Reduced Instruction Spiking Processor. CoRR (2022)
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC (2022)
James S. Plank, Catherine D. Schuman, Robert M. Patton
An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment. CoRR (2021)
Catherine D. Schuman, Steven R. Young, Bryan P. Maldonado, Brian C. Kaul
Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge. IGSC (2021)
Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok
Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. ICONS (2021)
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. ACC (2021)
Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
Computational Complexity of Neuromorphic Algorithms. ICONS (2021)
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
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS (2021)
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
Neuromorphic Computing for Autonomous Racing. ICONS (2021)
Bryan P. Maldonado, Brian C. Kaul, Catherine D. Schuman, Steven R. Young, J. Parker Mitchell
Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. IEEE Control. Syst. Lett. 5 (6) (2021)
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
Stochasticity and robustness in spiking neural networks. Neurocomputing 419 (2021)
Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman
Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC (2021)
Prasanna Date, Catherine D. Schuman, Bill Kay, Thomas E. Potok
Neuromorphic Computing is Turing-Complete. CoRR (2021)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Benchmarking the performance of neuromorphic and spiking neural network simulators. Neurocomputing 447 (2021)
Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok
Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops (2021)
Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat, Catherine D. Schuman, Garrett S. Rose
Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong
Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. UKCI (2021)
J. Parker Mitchell, Catherine D. Schuman
Low Power Hardware-In-The-Loop Neuromorphic Training Accelerator. ICONS (2021)
Catherine D. Schuman, James S. Plank, Maryam Parsa, Shruti R. Kulkarni, Nicholas D. Skuda, J. Parker Mitchell
A Software Framework for Comparing Training Approaches for Spiking Neuromorphic Systems. IJCNN (2021)
Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks with Synaptic Plasticity under Integer Representation. ICONS (2021)
James S. Plank, Chaohui Zheng, Catherine D. Schuman, Christopher Dean
Spiking Neuromorphic Networks for Binary Tasks. ICONS (2021)
Kathleen E. Hamilton, Prasanna Date, Bill Kay, Catherine D. Schuman
Modeling epidemic spread with spike-based models. ICONS (2020)
J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
Caspian: A Neuromorphic Development Platform. NICE (2020)
Daniel Elbrecht, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman
Evolving Ensembles of Spiking Neural Networks for Neuromorphic Systems. SSCI (2020)
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
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR (2020)
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) (2020)
Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank
Evolutionary Optimization for Neuromorphic Systems. NICE (2020)
Daniel Elbrecht, Catherine D. Schuman
Neuroevolution of Spiking Neural Networks Using Compositional Pattern Producing Networks. ICONS (2020)
Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. CoRR (2020)
Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble
Accelerating Scientific Computing in the Post-Moore's Era. ACM Trans. Parallel Comput. 7 (1) (2020)
Bill Kay, Prasanna Date, Catherine D. Schuman
Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees. NICE (2020)
Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN (2020)
Kathleen E. Hamilton, Tiffany M. Mintz, Prasanna Date, Catherine D. Schuman
Spike-based graph centrality measures. ICONS (2020)
Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN (2020)
Jonathan D. Ambrose, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman, Grant Bruer
GRANT: Ground-Roaming Autonomous Neuromorphic Targeter. IJCNN (2020)
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
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN (2020)
Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok
Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN (2020)
Daniel Elbrecht, Maryam Parsa, Shruti R. Kulkarni, J. Parker Mitchell, Catherine D. Schuman
Training Spiking Neural Networks Using Combined Learning Approaches. SSCI (2020)
Theodore Papamarkou, Hayley Guy, Bryce Kroencke, Jordan Miller, Preston Robinette, Daniel Schultz, Jacob D. Hinkle, Laura Pullum, Catherine D. Schuman, Jeremy Renshaw, Stylianos Chatzidakis
Automated detection of pitting and stress corrosion cracks in used nuclear fuel dry storage canisters using residual neural networks. CoRR (2020)
J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok
A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. ICONS (2020)
Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok
Efficiently embedding QUBO problems on adiabatic quantum computers. Quantum Inf. Process. 18 (4) (2019)
Wilkie Olin-Ammentorp, Karsten Beckmann, Catherine D. Schuman, James S. Plank, Nathaniel C. Cady
Stochasticity and Robustness in Spiking Neural Networks. CoRR (2019)
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
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData (2019)
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
Exascale Deep Learning to Accelerate Cancer Research. CoRR (2019)
Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok
Island model for parallel evolutionary optimization of spiking neuromorphic computing. GECCO (Companion) (2019)
Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR (2019)
Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData (2019)
Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC (2019)
John J. M. Reynolds, James S. Plank, Catherine D. Schuman
Intelligent Reservoir Generation for Liquid State Machines using Evolutionary Optimization. IJCNN (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Catherine D. Schuman