Corey Lammie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
3
Active years
2018–2026
Best venue rank
C
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICGT | GHL: An Extensible C++ Library for Flexible and Performant Graph Pattern Matching and Rewriting. | Tunaberk Almaci, Corey Lammie, Hadjer Benmeziane, Clment Fournier, Orhun Gorkem, Irem Boybat, William Andrew Simon |
| 2025 | CASES | Hardware-Aware Compilation and Simulation for In-Memory Computing. | Asif Ali Khan, Hadjer Benmeziane, Hamid Farzaneh, Joo Paulo C. de Lima, William Andrew Simon, Yiyu Shi, Zheyu Yan, Abu Sebastian, X. Sharon Hu, Jernimo Castrilln, Corey Lammie |
| 2025 | ISCAS | Assessing the Performance of Analog Training for Transfer Learning. | Omobayode Fagbohungbe, Corey Lammie, Malte J. Rasch, Takashi Ando, Tayfun Gokmen, Vijay Narayanan |
| 2025 | ISCAS | Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip. | Corey Lammie, Julian Bchel, Athanasios Vasilopoulos, Giacomo Camposampiero, Lionel Noussi, William Andrew Simon, Manuel Le Gallo, Abu Sebastian |
| 2025 | ISCAS | A framework for analog-digital mixed-precision neural network training and inference. | Athanasios Vasilopoulos, Emma Boulharts, Corey Lammie, Julian Bchel, Hadjer Benmeziane, Manuel Le Gallo, Abu Sebastian |
| 2024 | ISCAS | A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. | Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian |
| 2024 | ISCAS | Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. | Corey Lammie, Athanasios Vasilopoulos, Julian Bchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian |
| 2022 | ISCAS | Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. | Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi |
| 2021 | ISCAS | Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction. | Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi |
| 2020 | ISCAS | Biologically Plausible Contrast Detection using a Memristor Array. | Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi |
| 2020 | ISCAS | Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. | Corey Lammie, Mostafa Rahimi Azghadi |
| 2020 | ISCAS | MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures. | Corey Lammie, Mostafa Rahimi Azghadi |
| 2020 | ISCAS | Training Progressively Binarizing Deep Networks using FPGAs. | Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi |
| 2019 | ISCAS | Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA. | Corey Lammie, Mostafa Rahimi Azghadi |
| 2018 | ISCAS | Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System. | Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi |
| 2018 | ISCAS | Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System. | Corey Lammie, Tara Julia Hamilton, Mostafa Rahimi Azghadi |