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ORCIDCraig M. Vineyard
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2020 – today
- 2024
[c32]Craig M. Vineyard, William M. Severa, James B. Aimone:
Strategic Considerations for Neuromorphic Computing. ICONS 2024: 161-168- 2023
- [j5]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): 47-58 (2023) - [c31]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: 17:1-17:9 - [c30]William Severa, Suma George Cardwell, Michael Krygier, Fredrick H. Rothganger, Craig Michael Vineyard:
Neuromorphic Population Evaluation using the Fugu Framework. ICONS 2023: 42:1-42:7 - [i9]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:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i8]Craig M. Vineyard, William M. Severa, James B. Aimone:
Neuromorphic Co-Design as a Game. CoRR abs/2312.14954 (2023) - 2022
- [c29]Craig M. Vineyard, Suma Cardwell, Frances S. Chance, Srideep Musuvathy, Fred Rothganger, William Severa, John Darby Smith, Corinne Teeter, Felix Wang, James B. Aimone:
Neural Mini-Apps as a Tool for Neuromorphic Computing Insight. NICE 2022: 40-49 - [i7]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. CoRR abs/2203.12662 (2022) - 2021
- [c28]James B. Aimone, Aaron J. Hill, William M. Severa, Craig M. Vineyard:
Spiking Neural Streaming Binary Arithmetic. ICRC 2021: 79-83 - 2020
- [j4]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: 39 (2020) - [c27]Hassan Dbouk, Hanfei Geng, Craig M. Vineyard, Naresh R. Shanbhag:
Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition. ICASSP 2020: 1598-1602 - [c26]William Severa, Ryan Dellana, Craig M. Vineyard:
Effective Pruning of Binary Activation Neural Networks. ICONS 2020: 10:1-10:5 - [c25]Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. IJCNN 2020: 1-7 - [c24]Craig M. Vineyard, Mark Plagge, Sam Green:
Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations. NICE 2020: 3:1-3:6 - [c23]Sourav Sanyal, Aayush Ankit, Craig M. Vineyard, Kaushik Roy:
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS 2020: 1-6 - [c22]Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick 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: 349-365
2010 – 2019
- 2019
- [j3]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): 86-94 (2019) - [c21]James B. Aimone, William Severa, Craig M. Vineyard:
Composing neural algorithms with Fugu. ICONS 2019: 3:1-3:8 - [c20]Craig M. Vineyard, Sam Green, William M. Severa, Çetin Kaya Koç:
Benchmarking Event-Driven Neuromorphic Architectures. ICONS 2019: 13:1-13:5 - [i6]Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Distillation Strategies for Proximal Policy Optimization. CoRR abs/1901.08128 (2019) - [i5]James B. Aimone, William Severa, Craig M. Vineyard:
Composing Neural Algorithms with Fugu. CoRR abs/1905.12130 (2019) - [i4]Sam Green, Craig M. Vineyard, Ryan Helinski, Çetin Kaya Koç:
RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search. CoRR abs/1911.05704 (2019) - 2018
- [j2]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) - [c19]Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance. IJCNN 2018: 1-8 - [p1]Sam Green, Craig M. Vineyard, Çetin Kaya Koç:
Mathematical Optimizations for Deep Learning. Cyber-Physical Systems Security 2018: 69-92 - [i3]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 abs/1810.11521 (2018) - 2017
- [c18]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: 1-8 - [c17]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: 526-533 - [c16]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: 2015-2022 - [c15]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: 2421-2428 - [i2]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 abs/1704.08306 (2017) - 2016
- [c14]Craig M. Vineyard, Stephen J. Verzi:
Overcoming the Static Learning Bottleneck - the need for adaptive neural learning. ICRC 2016: 1-3 - [c13]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: 5181-5188 - [i1]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 abs/1612.03770 (2016) - 2015
- [c12]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: 1-8 - [c11]Craig M. Vineyard, Stephen J. Verzi, Conrad D. James, James B. Aimone, Gregory L. Heileman:
MapReduce SVM Game. INNS Conference on Big Data 2015: 298-307 - 2013
- [c10]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: 531-540 - 2012
- [j1]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): 20 (2012) - [c9]Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel:
Neurogenesis in a High Resolution Dentate Gyrus Model. BICA 2012: 371-372 - [c8]Craig M. Vineyard, Glory R. Emmanuel, Stephen J. Verzi, Gregory L. Heileman:
A Game Theoretic Model of Neurocomputation. BICA 2012: 373-374 - [c7]Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, Ramiro Jordan:
Game theoretic mechanism design applied to machine learning classification. CIP 2012: 1-5 - [c6]Craig M. Vineyard, Kiran Lakkaraju, Joseph Collard, Stephen J. Verzi:
The Impact of Attitude Resolve on Population Wide Attitude Change. SBP 2012: 322-330 - 2011
- [c5]Craig M. Vineyard, Stephen J. Verzi, Michael L. Bernard, Thomas P. Caudell:
A Multimodal Hypertensor Architecture for Association Formation. BICA 2011: 419-424 - [c4]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: 2100-2105 - 2010
- [c3]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: 175-180
2000 – 2009
- 2009
- [c2]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: 733-737 - [c1]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: 3111-3117
Coauthor Index
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last updated on 2024-12-17 21:50 CET by the dblp team
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