Publications

13 results for Malte Rasch

Towards Exact Gradient-based Training on Analog In-memory Computing
- - Zhaoxian Wu
  - Tayfun Gokmen
  - et al.
- 2024
- NeurIPS 2024
Poster
State-Independent Low Resistance Drift SiSbTe Phase Change Memory for Analog In-Memory Computing Applications
- - Michelle Cheng
  - Zhi-Lun Liu
  - et al.
- 2024
- VLSI Technology and Circuits 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
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
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks
- - Sidney Tsai
  - Pritish Narayanan
  - et al.
- 2023
- ISCAS 2023
Invited talk
Optimised weight programming for analogue memory-based deep neural networks
- - Charles Mackin
  - Malte Rasch
  - et al.
- 2022
- MRS Fall Meeting 2022
Invited talk
Impact of PCM noise on the Spiking Restricted Boltzmann Machine via On-Chip Trainable PCM synapses
- - Uicheol Shin
  - Masatoshi Ishii
  - et al.
- 2022
- MRS Fall Meeting 2022
Talk
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- - Ning Li
  - Charles Mackin
  - et al.
- 2022
- MRS Fall Meeting 2022
Talk
Optimization of Projected Phase Change Memory for Application in Analog Neuromorphic Computing
- - Ning Li
  - Kevin Brew
  - et al.
- 2021
- MRS Fall Meeting 2021
Short paper