Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

Date

Start

End

Featured collections

Popular topics

27 results for An Chen

Reducing the Impact of Phase-Change Memory Conductance Drift on the Inference of large-scale Hardware Neural Networks
- - Stefano Ambrogio
  - M. Gallot
  - et al.
- 2019
- IEDM 2019
A Highly Efficient and Scalable Model for Crossbar Arrays with Nonlinear Selectors
- - An Chen
- 2018
- IEDM 2018
Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- - Malte J. Rasch
  - Charles Mackin
  - et al.
- 2023
- Nature Communications
An analog-AI chip for energy-efficient speech recognition and transcription
- - S. Ambrogio
  - Pritish Narayanan
  - et al.
- 2023
- Nature
Optimization of Projected Phase Change Memory for Analog In-Memory Computing Inference
- - Ning Li
  - Charles Mackin
  - et al.
- 2023
- Advanced Materials
Optimised weight programming for analogue memory-based deep neural networks
- - Charles Mackin
  - Malte J. Rasch
  - et al.
- 2022
- Nature Communications
Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers
- - Atsuya Okazaki
  - Pritish Narayanan
  - et al.
- 2022
- ISCAS 2022
Circuit techniques for efficient acceleration of deep neural network inference with Analog-AI (Invited)
- - Kohji Hosokawa
  - Pritish Narayanan
  - et al.
- 2021
- ISCAS 2021
Inference of Deep Neural Networks with Analog Memory Devices
- - Stefano Ambrogio
  - Pritish Narayanan
  - et al.
- 2020
- VLSI-TSA 2020
Accelerating Deep Neural Networks with Analog Memory Devices
- - Stefano Ambrogio
  - Pritish Narayanan
  - et al.
- 2020
- AICAS 2020