Design Index for Deep Neural Networks. - Prasanna Date; James A. Hendler; Christopher D. Carothers (BICA, 2016)

Efficient Classification of Supercomputer Failures Using Neuromorphic Computing. - Prasanna Date; Christopher D. Carothers; James A. Hendler; Malik Magdon-Ismail (SSCI, 2018)

Efficiently embedding QUBO problems on adiabatic quantum computers. - Prasanna Date; Robert M. Patton; Catherine D. Schuman; Thomas E. Potok (Quantum Inf. Process., 2019)

Combinatorial neural network training algorithm for neuromorphic computing. - Prasanna Date (2019)

Modeling epidemic spread with spike-based models. - Kathleen E. Hamilton; Prasanna Date; Bill Kay; Catherine D. Schuman (ICONS, 2020)

Spike-based graph centrality measures. - Kathleen E. Hamilton; Tiffany M. Mintz; Prasanna Date; Catherine D. Schuman (ICONS, 2020)

Training Deep Neural Networks with Constrained Learning Parameters. - Prasanna Date; Christopher D. Carothers; John E. Mitchell 001; James A. Hendler; Malik Magdon-Ismail (ICRC, 2020)

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

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 (IJCNN, 2020)

Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees. - Bill Kay; Prasanna Date; Catherine D. Schuman (NICE, 2020)

Adiabatic Quantum Linear Regression. - Prasanna Date; Thomas E. Potok (CoRR, 2020)

QUBO Formulations for Training Machine Learning Models. - Prasanna Date; Davis Arthur; Lauren Pusey-Nazzaro (CoRR, 2020)

Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem. - Lauren Pusey-Nazzaro; Prasanna Date (CoRR, 2020)

Quantum Discriminator for Binary Classification. - Prasanna Date (CoRR, 2020)

Computational Complexity of Neuromorphic Algorithms. - Prasanna Date; Bill Kay; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok (ICONS, 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 (ICONS, 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 (ICONS, 2021)

Discriminating Quantum States with Quantum Machine Learning. - David A. Quiroga; Prasanna Date; Raphael C. Pooser (ICRC, 2021)

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. - Catherine D. Schuman; Bill Kay; Prasanna Date; Ramakrishnan Kannan; Piyush Sao; Thomas E. Potok (IPDPS Workshops, 2021)

Controller-based Energy-Aware Wireless Sensor Network Routing using Quantum Algorithms. - Jie Chen; Prasanna Date; Nicholas Chancellor; Mohammed Atiquzzaman; Cormac J. Sreenan (CoRR, 2021)

Balanced k-means clustering on an adiabatic quantum computer. - Davis Arthur; Prasanna Date (Quantum Inf. Process., 2021)

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 (ICONS, 2022)

Neuromorphic Computing is Turing-Complete. - Prasanna Date; Thomas E. Potok; Catherine D. Schuman; Bill Kay (ICONS, 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 (ICRC, 2022)

Hybrid Quantum-Classical Neural Networks. - Davis Arthur; Prasanna Date (QCE, 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 (RSDHA@SC, 2022)

A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification. - Davis Arthur; Prasanna Date (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)

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)

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)

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

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 (ICMLA, 2023)

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. - Prasanna Date; Chathika Gunaratne; Shruti R. Kulkarni; Robert M. Patton; Mark Coletti; Thomas E. Potok (ICONS, 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; et al. (ICONS, 2023)

An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. - Disha Maheshwari; Aaron R. Young; Prasanna Date; Shruti R. Kulkarni; Brett Witherspoon; Narasinga Rao Miniskar (ICRC, 2023)

Arithmetic Primitives for Efficient Neuromorphic Computing. - Ahna Wurm; Rebecca Seay; Prasanna Date; Shruti R. Kulkarni; Aaron R. Young; Jeffrey S. Vetter (ICRC, 2023)

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. - Kathleen E. Hamilton; Mayanka Chandra Shekar; John Gounley; Dhanvi Bharadwaj; Prasanna Date; Eduardo Antonio Coello Pérez; In-Saeng Suh; Georgia D. Tourassi (QCE, 2023)

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. - Jinyang Li 001; Zhepeng Wang 001; Zhirui Hu; Prasanna Date; Ang Li 006; Weiwen Jiang (QCE, 2023)

Adiabatic Quantum Support Vector Machines. - Dong Jun Woun; Prasanna Date (QCE, 2023)

Bridging HPC and Quantum Systems using Scientific Workflows. - Samuel T. Bieberich; Ketan C. Maheshwari; Sean R. Wilkinson; Prasanna Date; In-Saeng Suh; Rafael Ferreira da Silva (CoRR, 2023)

Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. - Jeffrey S. Vetter; Prasanna Date; Farah Fahim; Shruti R. Kulkarni; Petro Maksymovych; A. Alec Talin; Marc González Tallada; Pruek Vanna-Iampikul; Aaron R. Young; David Brooks 001; Yu Cao 001; Gu-Yeon Wei; et al. (Int. J. High Perform. Comput. Appl., 2023)

A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. - Ashish Gautam; Takashi Kohno; Prasanna Date; Robert M. Patton; Thomas E. Potok (ICONS, 2024)

Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. - Narasinga Rao Miniskar; Aaron R. Young; Kazi Asifuzzaman; Shruti R. Kulkarni; Prasanna Date; Alice Bean; Jeffrey S. Vetter (ICONS, 2024)

iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care. - Modeste Mefenya Kenne; Prasanna Date; Ronald T. Eguchi; Zhenghui Hu; Julie Rousseau; Nalini Venkatasubramanian (SMARTCOMP, 2024)

Adiabatic Quantum Support Vector Machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandra Shekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (CoRR, 2024)

ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors. - Kazi Asifuzzaman; Aaron R. Young; Prasanna Date; Shruti R. Kulkarni; Narasinga Rao Miniskar; Matthew J. Marinella; Jeffrey S. Vetter (Euro-Par (2), 2025)

Defining quantum-ready primitives for hybrid HPC-QC supercomputing: a case study in Hamiltonian simulation. - Andrea Delgado 002; Prasanna Date (Frontiers Comput. Sci., 2025)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning. - Ashish Gautam; Prasanna Date; Shruti R. Kulkarni; Robert M. Patton; Thomas E. Potok (CoRR, 2025)

Adiabatic quantum support vector machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandrashekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (Quantum Mach. Intell., 2025)