Mohammad Ganjtabesh

Cognitive Neuroscience · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 18 citations into it; #8,680 of 10,852 by trust here, #8,619 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Electrical and Electronic Engineering — 9 citations into it; #12,972 of 16,539 by trust here, #13,165 by citations
• Cellular and Molecular Neuroscience — 5 citations into it

Whom Mohammad Ganjtabesh trusts overall

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

1. Yann LeCun
2. Peter U. Diehl
3. Simon J. Thorpe
4. Yoshua Bengio
5. Timothée Masquelier
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Karen Simonyan
9. Peter O'Connor
10. Daniel Neil

Who trusts Mohammad Ganjtabesh overall

1. Michael Pfeiffer
2. Amirhossein Tavanaei

Papers from Mohammad Ganjtabesh's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• STDP-based spiking deep neural networks for object recognition (2016) — 458 citations