Publications

23 results for Julian Büchel

AIHWKIT-Lightning: A Scalable HW-Aware Training Toolkit for Analog In-Memory Computing
- - Julian Büchel
  - William Simon
  - et al.
- 2024
- NeurIPS 2024
Workshop paper
Analog AI as a Service: A Cloud Platform for In-Memory Computing
- - Kaoutar El Maghraoui
  - Kim Tran
  - et al.
- 2024
- SSE 2024
Conference paper
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- - Corey Liam Lammie
  - A. Vasilopoulos
  - et al.
- 2024
- ISCAS 2024
Conference paper
Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)
- - Geoffrey Burr
  - Sidney Tsai
  - et al.
- 2023
- IEDM 2023
Invited talk
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- - G.S. Syed
  - K. Brew
  - et al.
- 2023
- IEDM 2023
Conference paper
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error
- - Julian Buchel
  - Athanasios Vasilopoulos
  - et al.
- 2023
- IEEE JESTCS
Paper
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- - Manuel Le Gallo
  - Corey Liam Lammie
  - et al.
- 2023
- APL Mach. Learn.
Paper
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
- - Manuel Le Gallo
  - Riduan Khaddam-Aljameh
  - et al.
- 2023
- Nature Electronics
Paper
Exploiting the State Dependency of Conductance Variations in Memristive Devices for Accurate In-Memory Computing
- - Athanasios Vasilopoulos
  - Julian Buchel
  - et al.
- 2023
- IEEE T-ED
Paper
Adversarial attacks on spiking convolutional neural networks for event-based vision
- - Julian Büchel
  - Gregor Lenz
  - et al.
- 2022
- Frontiers in Neuroscience
Paper