Corey Lammie
Title
Cited by
Cited by
Year
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
C Lammie, A Olsen, T Carrick, MR Azghadi
IEEE Access 7, 51171-51184, 2019
212019
Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures
C Lammie, TJ Hamilton, A van Schaik, MR Azghadi
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (4), 1558-1570, 2018
182018
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System
C Lammie, T Hamilton, MR Azghadi
Circuits and Systems (ISCAS), 2018 IEEE International Symposium on, 1-5, 2018
142018
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
M Rahimiazghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
IEEE Transactions on Biomedical Circuits and Systems, 2020
82020
Variation-aware binarized memristive networks
C Lammie, O Krestinskaya, A James, MR Azghadi
2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019
52019
Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL
C Lammie, W Xiang, MR Azghadi
2019 IEEE 62nd International Midwest Symposium on Circuits and Systems …, 2019
52019
Stochastic computing for low-power and high-speed deep learning on FPGA
C Lammie, MR Azghadi
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
42019
Training Progressively Binarizing Deep Networks Using FPGAs
C Lammie, W Xiang, MR Azghadi
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
32020
MemTorch: An open-source simulation framework for memristive deep learning systems
C Lammie, W Xiang, B Linares-Barranco, MR Azghadi
arXiv preprint arXiv:2004.10971, 2020
32020
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures
C Lammie, MR Azghadi
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
22020
Live demonstration: Unsupervised character recognition with a FPGA neuromorphic system
C Lammie, T Hamilton, MR Azghadi
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-1, 2018
22018
Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations
C Lammie, MR Azghadi, D Ielmini
Semiconductor Science and Technology, 2021
2021
Memristive Stochastic Computing for Deep Learning Parameter Optimization
C Lammie, JK Eshraghian, WD Lu, MR Azghadi
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
2021
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction
C Lammie, W Xiang, MR Azghadi
arXiv preprint arXiv:2102.08555, 2021
2021
Biologically Plausible Contrast Detection using a Memristor Array
JK Eshraghian, C Lammie, MR Azghadi
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
2020
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge
C Lammie, MR Azghadi
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-1, 2020
2020
Digital, analog, and memristive implementation of Spike-based Synaptic Plasticity
M Lammie, Corey, and Rahimiazghadi
SCiNDU: Systems & Computational Neuroscience Down Under, 46, 2017
2017
SPECIAL SECTION ON THE 2020 IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE
MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
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