Shahar Kvatinsky
Electrical and Electronic Engineering · 2012–2016
A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 67 citations into it; #5,301 of 16,539 by trust here, #7,062 by citations
- Cellular and Molecular Neuroscience — 52 citations into it; #1,018 of 2,998 by trust here, #1,427 by citations
- Cognitive Neuroscience — 19 citations into it; #5,909 of 10,852 by trust here, #8,899 by citations
Whom Shahar Kvatinsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dmitri B. Strukov
- J. Joshua Yang
- Dalibor Biolek
- Eby G. Friedman
- G. Snider
- Yuriy V. Pershin
- T. Prodromakis
- Duncan R. Stewart
- Avinoam Kolodny
- Zdeněk Biolek
Who trusts Shahar Kvatinsky overall
- Nishil Talati
- Guy Satat
- Nimrod Wald
- Daniel Soudry
- Abu Sebastian
- Avinoam Kolodny
- Saransh Gupta
- Eby G. Friedman
- Pravin S. Mane
- M. Le Gallo
Papers from Shahar Kvatinsky's perspective
Ordered by how strongly the researchers Shahar Kvatinsky trusts endorse each paper. Same corpus, a different order for every researcher.
- The missing memristor found (Nature)
- Memristive devices for computing. (Nature Nanotechnology)
- Building high-level features using large scale unsupervised learning
- ‘Memristive’ switches enable ‘stateful’ logic operations via material implication (Nature)
- Large Scale Distributed Deep Networks
- CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices
- Efficient BackProp
- Nonvolatile memristor memory: Device characteristics and design implications (IEEE/ACM International Conference on Computer-Aided Design)
- Practical Approach to Programmable Analog Circuits With Memristors (IEEE Transactions on Circuits and Systems Part 1: Regular Papers)
- Best practices for convolutional neural networks applied to visual document analysis
Their papers
- MAGIC—Memristor-Aided Logic (2014) — 777 citations
- MRL — Memristor Ratioed Logic (2012) — 296 citations
- Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies (2014) — 611 citations
- TEAM: ThrEshold Adaptive Memristor Model (2013) — 759 citations
- Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training (2015) — 244 citations
- Logic Design Within Memristive Memories Using Memristor-Aided loGIC (MAGIC) (2016) — 301 citations