Publications

19 results for Julian Büchel

Deep learning software stacks for analogue in-memory computing-based accelerators
- - Corey Liam Lammie
  - Hadjer Benmeziane
  - et al.
- 2025
- Nat. Rev. Electr. Eng.
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
AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- - Julian Büchel
  - William Simon
  - et al.
- 2024
- NeurIPS 2024
Analog AI as a Service: A Cloud Platform for In-Memory Computing
- - Kaoutar El Maghraoui
  - Kim Tran
  - et al.
- 2024
- SSE 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- - Corey Liam Lammie
  - A. Vasilopoulos
  - et al.
- 2024
- ISCAS 2024
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- - Geoffrey Burr
  - Sidney Tsai
  - et al.
- 2023
- IEDM 2023