Corey Lammie
Orcid: 0000-0001-5564-1356
According to our database1,
Corey Lammie
authored at least 31 papers
between 2018 and 2024.
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Bibliography
2024
Neural Comput. Appl., February, 2024
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR, 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Proceedings of the IEEE International Conference on Software Services Engineering, 2024
2023
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023
Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks.
Softw. Impacts, March, 2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.
CoRR, 2023
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023
2022
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.
IEEE Trans. Biomed. Circuits Syst., 2022
Neurocomputing, 2022
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts.
Array, 2022
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
IEEE Access, 2019
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018