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ORCIDCorey Lammie
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Journal Articles
- 2024
[j12]Ben Walters
, Corey Lammie, Shuangming Yang, Mohan V. Jacob, Mostafa Rahimi Azghadi:
Unsupervised character recognition with graphene memristive synapses. Neural Comput. Appl. 36(4): 1569-1584 (2024)- 2023
- [j11]Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 873-876 (2023) - [j10]Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1052-1061 (2023) - [j9]Chenqi Li, Corey Lammie, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. Softw. Impacts 15: 100473 (2023) - 2022
- [j8]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts. Array 13: 100116 (2022) - [j7]Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi:
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. Neurocomputing 485: 124-133 (2022) - [j6]Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Trans. Biomed. Circuits Syst. 16(4): 609-625 (2022) - 2021
- [j5]Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1650-1654 (2021) - [j4]Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(10): 3865-3873 (2021) - 2020
- [j3]Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14(6): 1138-1159 (2020) - 2019
- [j2]Corey Lammie, Alex Olsen, Tony Carrick, Mostafa Rahimi Azghadi:
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. IEEE Access 7: 51171-51184 (2019) - [j1]Corey Lammie, Tara Julia Hamilton, André van Schaik, Mostafa Rahimi Azghadi:
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(4): 1558-1570 (2019)
Conference and Workshop Papers
- 2024
- [c17]Kaoutar El Maghraoui, Kim Tran, Kurtis Ruby, Borja Godoy, Jordan Murray, Manuel Le Gallo-Bourdeau, Todd Deshane, Pablo Gonzalez, Diego Moreda, Hadjer Benmeziane, Corey Liam Lammie, Julian Büchel, Malte J. Rasch, Abu Sebastian, Vijay Narayanan:
Analog AI as a Service: A Cloud Platform for In-Memory Computing. SSE 2024: 43-53 - [c16]Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. ISCAS 2024: 1-5 - [c15]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. ISCAS 2024: 1-5 - 2023
- [c14]Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE 2023: 233-244 - 2022
- [c13]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS 2022: 352-355 - [c12]Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS 2022: 1107-1111 - [c11]Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov:
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. MWSCAS 2022: 1-4 - 2021
- [c10]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction. ISCAS 2021: 1-5 - 2020
- [c9]Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi:
Biologically Plausible Contrast Detection using a Memristor Array. ISCAS 2020: 1-5 - [c8]Corey Lammie, Mostafa Rahimi Azghadi:
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. ISCAS 2020: 1 - [c7]Corey Lammie, Mostafa Rahimi Azghadi:
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures. ISCAS 2020: 1-5 - [c6]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Training Progressively Binarizing Deep Networks using FPGAs. ISCAS 2020: 1-5 - 2019
- [c5]Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi:
Variation-aware Binarized Memristive Networks. ICECS 2019: 490-493 - [c4]Corey Lammie, Mostafa Rahimi Azghadi:
Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA. ISCAS 2019: 1-5 - [c3]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. MWSCAS 2019: 626-629 - 2018
- [c2]Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi:
Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System. ISCAS 2018: 1- - [c1]Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi:
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System. ISCAS 2018: 1-5
Informal and Other Publications
- 2024
- [i17]Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza:
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR abs/2401.09420 (2024) - [i16]Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR abs/2401.09859 (2024) - [i15]Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR abs/2402.07549 (2024) - 2023
- [i14]Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR abs/2305.10459 (2023) - [i13]Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch:
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR abs/2307.09357 (2023) - 2022
- [i12]Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR abs/2201.06703 (2022) - [i11]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR abs/2202.07221 (2022) - [i10]Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov:
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. CoRR abs/2205.06514 (2022) - [i9]Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. CoRR abs/2206.09951 (2022) - 2021
- [i8]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction. CoRR abs/2102.08555 (2021) - [i7]Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR abs/2103.06506 (2021) - [i6]Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR abs/2109.14919 (2021) - 2020
- [i5]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Training Progressively Binarizing Deep Networks Using FPGAs. CoRR abs/2001.02390 (2020) - [i4]Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi:
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. CoRR abs/2004.10971 (2020) - [i3]Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR abs/2007.05657 (2020) - 2019
- [i2]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. CoRR abs/1905.06105 (2019) - [i1]Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi:
Variation-aware Binarized Memristive Networks. CoRR abs/1910.05920 (2019)
Coauthor Index
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