Timothy D. Hirzel
Computational Chemistry & Drug Discovery · 2015–2016
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Computational Chemistry & Drug Discovery — 38 citations into it; #169 of 425 by trust here, #47 by citations
- Artificial Intelligence — 25 citations into it
- Model Architectures — 15 citations into it
Whom Timothy D. Hirzel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Graves
- Richard Socher
- Sepp Hochreiter
Who trusts Timothy D. Hirzel overall
- Wengong Jin
- Ryan-Rhys Griffiths
- José Miguel Hernández-Lobato
- Thomas Kipf
- Regina Barzilay
- Yujia Li
- Rex Ying
- Tommi S. Jaakkola
- Garrett B. Goh
- Nicola De Cao
Papers from Timothy D. Hirzel's perspective
Ordered by how strongly the researchers Timothy D. Hirzel trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Convolutional Networks on Graphs for Learning Molecular Fingerprints (2015) — 3,666 citations
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules (2016) — 3,556 citations
- Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach. (2016) — 926 citations
- Design of e cient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach (2016)