Yoshiharu Mori

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it
• Computational Theory and Mathematics — 22 citations into it
• Computational Biology & Bioinformatics — 12 citations into it
• Materials Chemistry — 12 citations into it
• Computational Chemistry & Drug Discovery — 11 citations into it
• Generative Models — 10 citations into it
• Artificial Intelligence — 5 citations into it

Whom Yoshiharu Mori trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Yang Zhang
4. Jascha Narain Sohl-Dickstein
5. Hannes Stärk
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Yoshua Bengio
9. Tim Salimans
10. Alex Krizhevsky

Papers from Yoshiharu Mori's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• End-to-end protein–ligand complex structure generation with diffusion-based generative models (2022) — 53 citations