Hiroki R. Ueda
Molecular Biology · 2002–2020
A researcher in the Science corpus: 10 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 102 citations into it
- Artificial Intelligence — 16 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Materials Chemistry — 11 citations into it
- Computational Chemistry & Drug Discovery — 7 citations into it
- Natural Language Processing — 7 citations into it
Whom Hiroki R. Ueda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- Geoffrey E. Hinton
- Hiroaki Kitano
- Esben Jannik Bjerrum
- Yoshua Bengio
- Jimmy Ba
- Alex Krizhevsky
- Max Welling
Who trusts Hiroki R. Ueda overall
Papers from Hiroki R. Ueda's perspective
Ordered by how strongly the researchers Hiroki R. Ueda trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- The Transcriptional Landscape of the Mammalian Genome (2005) — 3,572 citations
- Mutational Analysis Reveals the Origin and Therapy-driven Evolution of Recurrent Glioma (2013) — 1,210 citations
- SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery (2019) — 269 citations
- Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis. (2014) — 1,210 citations
- Tissue clearing and its applications in neuroscience (2020) — 517 citations
- Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer (2016) — 632 citations
- Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging (2015) — 729 citations
- Trans-ancestry mutational landscape of hepatocellular carcinoma genomes (2014) — 718 citations
- System-level identification of transcriptional circuits underlying mammalian circadian clocks (2005) — 834 citations
- A transcription factor response element for gene expression during circadian night (2002) — 892 citations