Neural Network Training With Asymmetric Crosspoint Elements
- Murat Onen
- Tayfun Gokmen
- et al.
- 2022
- Frontiers in Artificial Intelligence
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178 results for Wilfried Haensch
Fully On-Chip MAC at 14 nm Enabled by Accurate Row-Wise Programming of PCM-Based Weights and Parallel Vector-Transport in Duration-Format
- Pritish Narayanan
- Stefano Ambrogio
- et al.
- 2021
- IEEE T-ED
Hardware Algorithm Co-optimization on Resistive RAM Cross-bar Array for Scalable Analog Compute Technology for AI application
- Y. Kim
- S.-C. Seo
- et al.
- 2021
- SNW 2021
Fully on-chip MAC at 14nm enabled by accurate row-wise programming of PCM-based weights and parallel vector-transport in duration-format
- P. Narayanan
- S. Ambrogio
- et al.
- 2021
- VLSI 2021
Resistive Memory Process Optimization for High Resistance Switching Toward Scalable Analog Compute Technology for Deep Learning
- Youngseok Kim
- Soon-Cheon Seo
- et al.
- 2021
- IEEE Electron Device Letters
Unassisted true analog neural network training chip
- Y. Kohda
- Y. Li
- et al.
- 2020
- IEDM 2020
Training large-scale artificial neural networks on simulated resistive crossbar arrays
- Malte J. Rasch
- Tayfun Gokmen
- et al.
- 2020
- IEEE Design and Test
Algorithm for Training Neural Networks on Resistive Device Arrays
- Tayfun Gokmen
- Wilfried Haensch
- 2020
- Frontiers in Neuroscience
The marriage of training and inference for scaled deep learning analog hardware
- Tayfun Gokmen
- Malte J. Rasch
- et al.
- 2019
- IEDM 2019
On-Chip Trainable 1.4M 6T2R PCM Synaptic Array with 1.6K Stochastic LIF Neurons for Spiking RBM
- Masatoshi Ishii
- U. Shin
- et al.
- 2019
- IEDM 2019