Publications

105 results for Manuel Le Gallo-Bourdeau

Deep learning software stacks for analogue in-memory computing-based accelerators
- - Corey Liam Lammie
  - Hadjer Benmeziane
  - et al.
- 2025
- Nat. Rev. Electr. Eng.
Deep Neural Network Inference with Analog In-Memory Computing
- - Manuel Le Gallo
- 2025
- PASC 2025
In-Memory Computing for Deep Learning Inference: An Overview and Future Prospects
- - Manuel Le Gallo
- 2025
- ISMC 2025
A framework for analog-digital mixed-precision neural network training and inference
- - A. Vasilopoulos
  - Emma Boulharts
  - et al.
- 2025
- ISCAS 2025
Live Demonstration: Automated DNN Deployment on the IBM HERMES Project Chip
- - Corey Liam Lammie
  - Julian Büchel
  - et al.
- 2025
- ISCAS 2025
The Inherent Adversarial Robustness of Analog In-Memory Computing
- - Corey Liam Lammie
  - Julian Büchel
  - et al.
- 2025
- Nature Communications
Efficient Scaling of Large Language Models with Mixture of Experts and 3D Analog In-Memory Computing
- - Julian Büchel
  - A. Vasilopoulos
  - et al.
- 2025
- Nat. Comput. Sci.
Kernel approximation using analogue in-memory computing
- - Julian Büchel
  - Giacomo Camposampiero
  - et al.
- 2024
- Nature Machine Intelligence
Multi-Task Neural Network Mapping onto Analog-Digital Heterogeneous Accelerators
- - Hadjer Benmeziane
  - Corey Liam Lammie
  - et al.
- 2024
- NeurIPS 2024
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- - Julian Büchel
  - William Simon
  - et al.
- 2024
- NeurIPS 2024