Bipin Rajendran

Electrical and Electronic Engineering · 2005–2019

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 75 citations into it
• Materials Chemistry — 37 citations into it

Whom Bipin Rajendran trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stefan K. Lai (in Electrical and Electronic Engineering)

Papers from Bipin Rajendran's perspective

Ordered by how strongly the researchers Bipin Rajendran trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. In-datacenter performance analysis of a tensor processing unit
3. Neural networks and physical systems with emergent collective computational abilities.
4. Weight Uncertainty in Neural Networks
5. Adding Gradient Noise Improves Learning for Very Deep Networks
6. Learning Deep Features for Discriminative Localization
7. Deep Learning with Limited Numerical Precision
8. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
9. Noisy Activation Functions
10. Recovery and Drift Dynamics of Resistance and Threshold Voltages in Phase-Change Memories (IEEE Transactions on Electron Devices)

Their papers

• A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons (2011) — 313 citations
• Phase change memory technology (2010) — 1,007 citations
• Neuromorphic computing with multi-memristive synapses (2017) — 751 citations
• Accurate deep neural network inference using computational phase-change memory (2019) — 474 citations
• Silicon nanowires for sequence-specific DNA sensing: device fabrication and simulation (2005) — 135 citations