Craig M. Vineyard

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 31

Top Topics

Target Recognition

Top Venues

Publications

Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56 (3) (2023)
Peter Helfer, Corinne Teeter, Aaron J. Hill, Craig M. Vineyard, James B. Aimone, Dhireesha Kudithipudi
Context Modulation Enables Multi-tasking and Resource Efficiency in Liquid State Machines. ICONS (2023)
Craig M. Vineyard, William M. Severa, James B. Aimone
Neuromorphic Co-Design as a Game. CoRR (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)
Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Smith, Corinne Teeter, Felix Wang, James B. Aimone
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE (2022)
James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
Spiking Neural Streaming Binary Arithmetic. CoRR (2022)
James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard
Spiking Neural Streaming Binary Arithmetic. ICRC (2021)
Frances S. Chance, James B. Aimone, Srideep Musuvathy, Michael R. Smith, Craig M. Vineyard, Felix Wang
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence. Frontiers Comput. Neurosci. 14 (2020)
William Severa, Ryan Dellana, Craig M. Vineyard
Effective Pruning of Binary Activation Neural Networks. ICONS (2020)
Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Frederick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. SMC (2020)
Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. IJCNN (2020)
Craig M. Vineyard, Mark Plagge, Sam Green
Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations. NICE (2020)
Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS (2020)
Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag
Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. ICASSP (2020)
James B. Aimone, William Severa, Craig M. Vineyard
Composing Neural Algorithms with Fugu. CoRR (2019)
Sam Green, Craig M. Vineyard, Çetin Kaya Koç
Distillation Strategies for Proximal Policy Optimization. CoRR (2019)
Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. CoRR (2019)
William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
Training deep neural networks for binary communication with the Whetstone method. Nat. Mach. Intell. 1 (2) (2019)
Craig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç
Benchmarking Event-Driven Neuromorphic Architectures. ICONS (2019)
James B. Aimone, William Severa, Craig M. Vineyard
Composing neural algorithms with Fugu. ICONS (2019)
Stephen J. Verzi, Fredrick H. Rothganger, Ojas Parekh, Tu-Thach Quach, Nadine E. Miner, Craig M. Vineyard, Conrad D. James, James B. Aimone
Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Comput. 30 (10) (2018)
William Severa, Craig M. Vineyard, Ryan Dellana, Stephen J. Verzi, James B. Aimone
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication. CoRR (2018)
Sam Green, Craig M. Vineyard, Çetin Kaya Koç
Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. IJCNN (2018)
Aaron J. Hill, Jonathon W. Donaldson, Fredrick H. Rothganger, Craig M. Vineyard, David R. Follett, Pamela L. Follett, Michael R. Smith, Stephen J. Verzi, William Severa, Felix Wang, James B. Aimone, John H. Naegle, Conrad D. James
A Spike-Timing Neuromorphic Architecture. ICRC (2017)
Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Jonathan A. Cox, Craig M. Vineyard, Kristofor D. Carlson, William M. Severa, Conrad D. James, James B. Aimone
Neurogenesis deep learning: Extending deep networks to accommodate new classes. IJCNN (2017)
Stephen J. Verzi, Craig M. Vineyard, Eric D. Vugrin, Meghan A. Galiardi, Conrad D. James, James B. Aimone
Optimization-based computation with spiking neurons. IJCNN (2017)
Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone
A Digital Neuromorphic Architecture Efficiently Facilitating Complex Synaptic Response Functions Applied to Liquid State Machines. CoRR (2017)
Michael R. Smith, Aaron J. Hill, Kristofor D. Carlson, Craig M. Vineyard, Jonathon Donaldson, David R. Follett, Pamela L. Follett, John H. Naegle, Conrad D. James, James B. Aimone
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines. IJCNN (2017)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone
Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis. IJCNN (2016)
Timothy J. Draelos, Nadine E. Miner, Christopher C. Lamb, Craig M. Vineyard, Kristofor D. Carlson, Conrad D. James, James B. Aimone
Neurogenesis Deep Learning. CoRR (2016)
Craig M. Vineyard, Stephen J. Verzi
Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC (2016)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
Repeated play of the SVM game as a means of adaptive classification. IJCNN (2015)
Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman
MapReduce SVM Game. INNS Conference on Big Data (2015)
Craig M. Vineyard, Stephen J. Verzi, Thomas P. Caudell, Michael L. Bernard, James B. Aimone
Adult Neurogenesis: Implications on Human And Computational Decision Making. HCI (24) (2013)
Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Irene Dubicka, Thomas P. Caudell
A multi-modal network architecture for knowledge discovery. Secur. Informatics 1 (1) (2012)
Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan
Game theoretic mechanism design applied to machine learning classification. CIP (2012)
Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel
Neurogenesis in a High Resolution Dentate Gyrus Model. BICA (2012)
Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi
The Impact of Attitude Resolve on Population Wide Attitude Change. SBP (2012)
Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman
A Game Theoretic Model of Neurocomputation. BICA (2012)
Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell
A Multimodal Hypertensor Architecture for Association Formation. BICA (2011)
Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Shawn E. Taylor, Wendy L. Shaneyfelt, Irene Dubicka, Jonathan T. McClain, Thomas P. Caudell
A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture. IJCNN (2011)
Craig M. Vineyard, Michael L. Bernard, Shawn E. Taylor, Thomas P. Caudell, Patrick D. Watson, Stephen J. Verzi, Neal J. Cohen, Howard Eichenbaum
A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall. BICA (2010)
Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell
Temporal semantics: An Adaptive Resonance Theory approach. IJCNN (2009)
Shawn E. Taylor, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell, Neal J. Cohen, Patrick D. Watson, Stephen J. Verzi, J. Daniel Morrow, Michael L. Bernard, Howard Eichenbaum
Memory in Silico: Building a Neuromimetic Episodic Cognitive Model. CSIE (5) (2009)