Lucas Glass

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Lucas Glass trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kyunghyun Cho
4. Yoshua Bengio
5. Ilya Sutskever
6. Rico Sennrich
7. Ashish Vaswani
8. Muhan Zhang
9. Yann LeCun

Papers from Lucas Glass's perspective

Ordered by how strongly the researchers Lucas Glass 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• DeepPurpose: a deep learning library for drug–target interaction prediction (2020) — 447 citations
• MolTrans: Molecular Interaction Transformer for drug–target interaction prediction (2020) — 562 citations