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Corey Lammie
Corey Lammie
IBM Research - Zurich
在 ibm.com 的电子邮件经过验证
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引用次数
引用次数
年份
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159, 2020
1652020
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
1072019
MemTorch: An open-source simulation framework for memristive deep learning systems
C Lammie, W Xiang, B Linares-Barranco, MR Azghadi
Neurocomputing 485, 124-133, 2022
712022
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
492018
Game changers in science and technology-now and beyond
UAK Betz, L Arora, RA Assal, H Azevedo, J Baldwin, MS Becker, ...
Technological Forecasting and Social Change 193, 122588, 2023
482023
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
372018
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
342020
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 68 (5), 1650-1654, 2021
322021
Seizure detection and prediction by parallel memristive convolutional neural networks
C Li, C Lammie, X Dong, A Amirsoleimani, MR Azghadi, R Genov
IEEE Transactions on Biomedical Circuits and Systems 16 (4), 609-625, 2022
242022
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts
C Lammie, W Xiang, MR Azghadi
Array 13, 100116, 2022
202022
Variation-aware binarized memristive networks
C Lammie, O Krestinskaya, A James, MR Azghadi
2019 26th IEEE international conference on electronics, circuits and systems …, 2019
192019
Towards memristive deep learning systems for real-time mobile epileptic seizure prediction
C Lammie, W Xiang, MR Azghadi
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
182021
Navigating local minima in quantized spiking neural networks
JK Eshraghian, C Lammie, MR Azghadi, WD Lu
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
152022
A deep learning localization method for measuring abdominal muscle dimensions in ultrasound images
A Saleh, IH Laradji, C Lammie, D Vazquez, CA Flavell, MR Azghadi
IEEE Journal of Biomedical and Health Informatics 25 (10), 3865-3873, 2021
152021
Empirical metal-oxide RRAM device endurance and retention model for deep learning simulations
C Lammie, MR Azghadi, D Ielmini
Semiconductor Science and Technology 36 (6), 065003, 2021
152021
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
152019
Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey
T Zhang, MR Azghadi, C Lammie, A Amirsoleimani, R Genov
Journal of Neural Engineering 20 (2), 021001, 2023
112023
Using the IBM analog in-memory hardware acceleration kit for neural network training and inference
M Le Gallo, C Lammie, J Büchel, F Carta, O Fagbohungbe, C Mackin, ...
APL Machine Learning 1 (4), 2023
92023
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
92019
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
82020
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