1. Analysis and Design of a Passive Switched-Capacitor Matrix Multiplier for Approximate Computing
2. Approximate SRAM for Energy-Efficient, Privacy-Preserving Convolutional Neural Networks
3. BinaryConnect: Training deep neural networks with binary weights during propagations;Courbariaux Matthieu;Advances in Neural Information Processing Systems. Montreal. Canada.,2015
4. Finding a roadmap to achieve large neuromorphic hardware systems;Hasler Jennifer;Frontiers in Neuroscience.,2013
5. Assessing Trends in Performance per Watt for Signal Processing Applications