Corey Lammie

58 papers C 14Misc 1Journal 37Unranked 6
YearRankTypeTitle / Venue / Authors
2025 C conf
A framework for analog-digital mixed-precision neural network training and inference.
ISCAS
Athanasios Vasilopoulos, Emma Boulharts, Corey Lammie, Julian Büchel, Hadjer Benmeziane, Manuel Le Gallo, Abu Sebastian
2025 — conf
Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited).
CICC
Geoffrey W. Burr, H. Tsai, Irem Boybat, William Andrew Simon, Julian Büchel, Athanasios Vasilopoulos, Pritish Narayanan, Andrea Fasoli, Kohji Hosokawa, Manuel Le Gallo, M. Ishii, Yasuteru Kohda, Atsuya Okazaki, A. Chen, Charles Mackin, Elena Ferro, Kaoutar El Maghraoui, Hadjer Benmeziane, T. Philicelli, Corey Lammie, Alexander M. Friz, Jose Luquin, S. Jain, Abu Sebastian, V. Narayanan
2025 C conf
Assessing the Performance of Analog Training for Transfer Learning.
ISCAS
Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2025 J jnl
Assessing the Performance of Analog Training for Transfer Learning.
CoRR
Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2025 J jnl
Assessing the Performance of Analog Training for Transfer Learning.
IEEE Trans. Circuits Syst. II Express Briefs
Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan
2025 J jnl
Author Correction: Kernel approximation using analogue in-memory computing.
Nat. Mac. Intell.
Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2025 Misc conf
Hardware-Aware Compilation and Simulation for In-Memory Computing.
CASES
Asif Ali Khan, Hadjer Benmeziane, Hamid Farzaneh, João Paulo C. de Lima, William Andrew Simon, Yiyu Shi, Zheyu Yan, Abu Sebastian, X. Sharon Hu, Jerónimo Castrillón, Corey Lammie
2025 J jnl
LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles.
IEEE Trans. Emerg. Top. Comput.
Corey Lammie, Yuxuan Wang, Flavio Ponzina, Joshua Alexander Harrison Klein, Hadjer Benmeziane, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2025 C conf
Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip.
ISCAS
Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Giacomo Camposampiero, Lionel Noussi, William Andrew Simon, Manuel Le Gallo, Abu Sebastian
2024 C conf
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing.
ISCAS
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
2024 J jnl
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing.
CoRR
Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian
2024 J jnl
Efficient Deployment of Transformer Models in Analog In-Memory Computing Hardware.
CoRR
Chen Li, Corey Lammie, Manuel Le Gallo, Bipin Rajendran
2024 C conf
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.
ISCAS
Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
2024 J jnl
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training.
CoRR
Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian
2024 J jnl
Kernel Approximation using Analog In-Memory Computing.
CoRR
Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024 J jnl
Kernel approximation using analogue in-memory computing.
Nat. Mac. Intell.
Julian Büchel, Giacomo Camposampiero, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Abbas Rahimi, Abu Sebastian
2024 J jnl
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR
Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Alexander Harrison Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2024 J jnl
The Inherent Adversarial Robustness of Analog In-Memory Computing.
CoRR
Corey Lammie, Julian Büchel, Athanasios Vasilopoulos, Manuel Le Gallo, Abu Sebastian
2024 J jnl
Unsupervised character recognition with graphene memristive synapses.
Neural Comput. Appl.
Ben Walters, Corey Lammie, Shuangming Yang, Mohan V. Jacob, Mostafa Rahimi Azghadi
2023 — conf
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.
EDGE
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
2023 J jnl
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing.
CoRR
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
2023 J jnl
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda
2023 J jnl
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian
2023 J jnl
Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks.
Softw. Impacts
Chenqi Li, Corey Lammie, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
2023 J jnl
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference.
CoRR
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
2022 C conf
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures.
ISCAS
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
2022 J jnl
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures.
CoRR
Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi
2022 J jnl
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems.
Neurocomputing
Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi
2022 J jnl
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts.
Array
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2022 — conf
Navigating Local Minima in Quantized Spiking Neural Networks.
AICAS
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
2022 J jnl
Navigating Local Minima in Quantized Spiking Neural Networks.
CoRR
Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu
2022 J jnl
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.
CoRR
Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
2022 J jnl
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.
IEEE Trans. Biomed. Circuits Syst.
Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov
2022 — conf
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation.
MWSCAS
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov
2022 J jnl
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation.
CoRR
Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov
2021 J jnl
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
CoRR
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
2021 J jnl
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images.
IEEE J. Biomed. Health Informatics
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi
2021 J jnl
Memristive Stochastic Computing for Deep Learning Parameter Optimization.
CoRR
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
2021 J jnl
Memristive Stochastic Computing for Deep Learning Parameter Optimization.
IEEE Trans. Circuits Syst. II Express Briefs
Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi
2021 C conf
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction.
ISCAS
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2021 J jnl
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction.
CoRR
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2020 C conf
Biologically Plausible Contrast Detection using a Memristor Array.
ISCAS
Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi
2020 J jnl
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
CoRR
Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri
2020 J jnl
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications.
IEEE Trans. Biomed. Circuits Syst.
Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri
2020 C conf
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
ISCAS
Corey Lammie, Mostafa Rahimi Azghadi
2020 C conf
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures.
ISCAS
Corey Lammie, Mostafa Rahimi Azghadi
2020 J jnl
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems.
CoRR
Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi
2020 J jnl
Training Progressively Binarizing Deep Networks Using FPGAs.
CoRR
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2020 C conf
Training Progressively Binarizing Deep Networks using FPGAs.
ISCAS
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2019 — conf
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
MWSCAS
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2019 J jnl
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL.
CoRR
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
2019 J jnl
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures.
IEEE Trans. Circuits Syst. I Regul. Pap.
Corey Lammie, Tara Julia Hamilton, André van Schaik, Mostafa Rahimi Azghadi
2019 J jnl
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
IEEE Access
Corey Lammie, Alex Olsen, Tony Carrick, Mostafa Rahimi Azghadi
2019 C conf
Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA.
ISCAS
Corey Lammie, Mostafa Rahimi Azghadi
2019 — conf
Variation-aware Binarized Memristive Networks.
ICECS
Corey Lammie, Olga Krestinskaya, Alex James, Mostafa Rahimi Azghadi
2019 J jnl
Variation-aware Binarized Memristive Networks.
CoRR
Corey Lammie, Olga Krestinskaya, Alex James, Mostafa Rahimi Azghadi
2018 C conf
Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System.
ISCAS
Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi
2018 C conf
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System.
ISCAS
Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi