Craig M. Vineyard

发表

Augmented cognition tool for rapid military decision making.

Shawn E. Taylor, Michael Lewis Bernard, Stephen Joseph Verzi, 2011 .

ly Inspired Hippocampus Based A icial Neural Network Architecture

Shawn E. Taylor, Michael Lewis Bernard, Craig M. Vineyard, 2011 .

NEUROCOMPUTATION BY A NEURAL CHIP-FIRING GAME.

Stephen Joseph Verzi, Craig M. Vineyard, Gregory L. Heileman, 2012 .

A Game-Theoretic Support Vector Machine Classifier

Craig M. Vineyard, C. Vineyard, 2015 .

MapReduce SVM Game

Conrad D. James, Craig M. Vineyard, Gregory L. Heileman, 2015, INNS Conference on Big Data.

Neural-Inspired Anomaly Detection

Craig M. Vineyard, James B. Aimone, Stephen J. Verzi, 2018 .

Training deep neural networks for binary communication with the Whetstone method pdf

Craig M. Vineyard, James B. Aimone, William M. Severa, 2018, Nature Machine Intelligence.

Benchmarking Event-Driven Neuromorphic Architectures

Craig M. Vineyard, William M. Severa, Çetin Kaya Koç, 2019, ICONS.

Overcoming the Static Learning Bottleneck - the need for adaptive neural learning

Craig M. Vineyard, Stephen J. Verzi, S. Verzi, 2016, 2016 IEEE International Conference on Rebooting Computing (ICRC).

Distillation Strategies for Proximal Policy Optimization pdf

Craig M. Vineyard, Çetin Kaya Koç, Sam Green, 2019, ArXiv.

A Spike-Timing Neuromorphic Architecture

Fred Rothganger, Conrad D. James, Craig M. Vineyard, 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).

A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture

Shawn E. Taylor, Irene Dubicka, Craig M. Vineyard, 2011, The 2011 International Joint Conference on Neural Networks.

Neural circuit models on emulated hardware.

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2015 .

Game theoretic mechanism design applied to machine learning classification

Ramiro Jordan, Craig M. Vineyard, Gregory L. Heileman, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

A Cortical-Hippocampal Neural Architecture for Episodic Memory with Information Theoretic Model Analysis.

Shawn E. Taylor, Michael Lewis Bernard, Stephen Joseph Verzi, 2010 .

Training deep neural networks for binary communication with the Whetstone method

Craig M. Vineyard, James B. Aimone, Stephen J. Verzi, 2019 .

RAPDARTS: Resource-Aware Progressive Differentiable Architecture Search

Craig M. Vineyard, Çetin Kaya Koç, Ryan Helinski, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Temporal semantics: An Adaptive Resonance Theory approach

Shawn E. Taylor, Craig M. Vineyard, Thomas P. Caudell, 2009, 2009 International Joint Conference on Neural Networks.

Can we be formal in assessing the strengths and weaknesses of neural architectures? A case study using a spiking cross-correlation algorithm.

Ojas Parekh, Craig M. Vineyard, James B. Aimone, 2016 .

Optimization-based computation with spiking neurons

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Mathematical Optimizations for Deep Learning

Craig M. Vineyard, Çetin Kaya Koç, Sam Green, 2018, Cyber-Physical Systems Security.

Adult Neurogenesis: Implications on Human And Computational Decision Making

Craig M. Vineyard, James B. Aimone, Thomas P. Caudell, 2013, HCI.

Neurogenesis deep learning: Extending deep networks to accommodate new classes

Conrad D. James, Craig M. Vineyard, Christopher C. Lamb, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Memory in Silico: Building a Neuromimetic Episodic Cognitive Model

J. Daniel Morrow, Shawn E. Taylor, Craig M. Vineyard, 2009, 2009 WRI World Congress on Computer Science and Information Engineering.

Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform

Craig M. Vineyard, James B. Aimone, William M. Severa, 2019, NICE '19.

Neural Inspired Computation Remote Sensing Platform.

Craig M. Vineyard, William Severa, Sam Green, 2019 .

Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence

Kaushik Roy, Craig M. Vineyard, Aayush Ankit, 2020, 2020 IEEE Workshop on Signal Processing Systems (SiPS).

A multi-modal network architecture for knowledge discovery

Shawn E. Taylor, Irene Dubicka, Craig M. Vineyard, 2012, Security Informatics.

Neural Computing at Sandia National Laboratories.

Conrad D. James, Stephen Joseph Verzi, Craig M. Vineyard, 2015 .

Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence

Craig M. Vineyard, James B. Aimone, Felix Wang, 2020, Frontiers in Computational Neuroscience.

Impacts of Mathematical Optimizations on Reinforcement Learning Policy Performance

Craig M. Vineyard, Çetin Kaya Koç, Sam Green, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Comparing Neural Accelerators & Neuromorphic Architectures The False Idol of Operations

Craig M. Vineyard, Sam Green, Mark Plagge, 2020, NICE.

Repeated play of the SVM game as a means of adaptive classification

Conrad D. James, Craig M. Vineyard, Gregory L. Heileman, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Effective Pruning of Binary Activation Neural Networks

Craig M. Vineyard, William Severa, Ryan Dellana, 2020, ICONS.

Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition

Hassan Dbouk, Naresh R. Shanbhag, Craig M. Vineyard, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Building a Comprehensive Neuromorphic Platform for Remote Computation

Craig M. Vineyard, James B. Aimone, Felix Wang, 2019 .

Neurogenesis in a High Resolution Dentate Gyrus Model

Craig M. Vineyard, James B. Aimone, Glory R. Emmanuel, 2012, BICA.

A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Neurologically Plausible Artificial Neural Network Computational Architecture of Episodic Memory and Recall

Shawn E. Taylor, Craig M. Vineyard, Neal J. Cohen, 2010, BICA.

Neurogenesis Deep Learning pdf

Conrad D. James, Craig M. Vineyard, Christopher C. Lamb, 2016, ISNN 2017.

Computing with Spikes: The Advantage of Fine-Grained Timing

Fred Rothganger, Ojas Parekh, Conrad D. James, 2018, Neural Computation.

A Multimodal Hypertensor Architecture for Association Formation

Craig M. Vineyard, Thomas P. Caudell, Stephen J. Verzi, 2011, BICA.

A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications

Steven J. Plimpton, Conrad D. James, Craig M. Vineyard, 2017, BICA 2017.

A Neural Chip-Firing Game as a Model of Neurocomputation.

Stephen Joseph Verzi, Craig M. Vineyard, Gregory L. Heileman, 2012 .

A Game Theoretic Model of Neurocomputation

Craig M. Vineyard, Gregory L. Heileman, Stephen J. Verzi, 2012, BICA.

Modeling aspects of human memory for scientific study.

Shawn E. Taylor, Michael Lewis Bernard, Stephen Joseph Verzi, 2009 .

The Impact of Attitude Resolve on Population Wide Attitude Change

Craig M. Vineyard, Kiran Lakkaraju, Stephen J. Verzi, 2012, SBP.

Quantifying neural information content: A case study of the impact of hippocampal adult neurogenesis

Conrad D. James, Craig M. Vineyard, James B. Aimone, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Co-Design of Free-Space Metasurface Optical Neuromorphic Classifiers for High Performance

Craig M. Vineyard, Elliot J. Fuller, François Léonard, 2021, ACS Photonics.

Exploring characteristics of neural network architecture computation for enabling SAR ATR

Craig M. Vineyard, William M. Severa, Mark Plagge, 2021 .

Whetstone: An accessible, platform-independent method for training spiking deep neural networks for neuromorphic processors

Craig M. Vineyard, James B. Aimone, William M. Severa, 2018 .

Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

Craig M. Vineyard, William M. Severa, Fred Rothganger, 2022, NICE.

Exploring SAR ATR with neural networks: going beyond accuracy

Craig M. Vineyard, William M. Severa, Ryan Melzer, 2022, Defense + Commercial Sensing.

Spiking Neural Streaming Binary Arithmetic

Craig M. Vineyard, William M. Severa, J. Aimone, 2021, 2021 International Conference on Rebooting Computing (ICRC).

Composing neural algorithms with Fugu

Craig M. Vineyard, William M. Severa, William Severa, 2019, ICONS.

Enhancing Expert System Intelligent Agents Using Game Theory

Craig M. Vineyard, Craig Michael Vineyard, C. Vineyard, 2009 .