Publications

19 results for Julian Büchel

In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- - G.S. Syed
  - K. Brew
  - et al.
- 2023
- IEDM 2023
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
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.
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
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
Adversarial attacks on spiking convolutional neural networks for event-based vision
- - Julian Büchel
  - Gregor Lenz
  - et al.
- 2022
- Frontiers in Neuroscience
Gradient descent-based programming of analog in-memory computing cores
- - Julian Buchel
  - A. Vasilopoulos
  - et al.
- 2022
- IEDM 2022
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA ADVERSARIAL REGULARIZATION
- - Julian Büchel
  - Fynn Faber
  - et al.
- 2022
- ICLR 2022
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator
- - Chuteng Zhou
  - Fernando Garcia Redondo
  - et al.
- 2021
- IEEE Micro