Boris Murmann
Biomedical Engineering · 2003–2018
A researcher in the Science corpus: 9 papers; trusts 69 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 62 citations into it; #3,837 of 10,734 by trust here, #1,051 by citations
- Electrical and Electronic Engineering — 48 citations into it; #6,255 of 16,539 by trust here, #3,506 by citations
- Computer Vision and Pattern Recognition — 36 citations into it; #8,617 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 28 citations into it; #14,064 of 35,345 by trust here, #15,866 by citations
- Efficiency & Compression — 27 citations into it
- Model Architectures — 11 citations into it; #1,123 of 2,278 by trust here, #1,433 by citations
- Optimization & Training — 6 citations into it; #1,431 of 2,601 by trust here, #1,448 by citations
Whom Boris Murmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Asad A. Abidi
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Matthieu Courbariaux
- Ilya Sutskever
- X. Zhang
- Christian Szegedy
Who trusts Boris Murmann overall
- Fred Chen
- Anantha P. Chandrakasan
- Vladimir Marko Stojanovic
- Jeff Johnson
- Hantian Zhang
- Asit K. Mishra
- Minjae Lee
- Robert LiKamWa
Papers from Boris Murmann's perspective
Ordered by how strongly the researchers Boris Murmann trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Convolutional Neural Networks using Logarithmic Data Representation (2016) — 461 citations
- A/D converter trends: Power dissipation, scaling and digitally assisted architectures (2008) — 311 citations
- Skin electronics from scalable fabrication of an intrinsically stretchable transistor array (2018) — 1,893 citations
- The Race for the Extra Decibel: A Brief Review of Current ADC Performance Trajectories (2015) — 136 citations
- A 12 b 75 MS/s pipelined ADC using open-loop residue amplification (2003) — 559 citations
- Cognitive computation and communication: A complement solution to cloud for IoT (2016) — 7 citations
- Stretchable temperature-sensing circuits with strain suppression based on carbon nanotube transistors (2018) — 323 citations
- A highly stretchable, transparent, and conductive polymer (2017) — 1,192 citations
- Highly stretchable polymer semiconductor films through the nanoconfinement effect (2017) — 1,100 citations