Jason Roche

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 7 citations into it; #5,200 of 11,946 by trust here, #7,638 by citations
• Electrical and Electronic Engineering — 5 citations into it; #5,473 of 16,539 by trust here, #12,727 by citations

Whom Jason Roche trusts overall

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

1. Jeffrey L. Elman
2. Ladislav Kristoufek
3. Isaac Madan
4. Yoshua Bengio
5. Devavrat Shah
6. V. Ediger
7. Felix Alexander Gers
8. J. Urgen Schmidhuber
9. Sepp Hochreiter

Who trusts Jason Roche overall

1. Jingyi Shen
2. Huisu Jang
3. Omer Berat Sezer
4. Xiong Wen Pang

Papers from Jason Roche's perspective

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

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

Their papers

• Predicting the Price of Bitcoin Using Machine Learning (2018) — 580 citations