Daniele Ongari

Materials Chemistry · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 142 citations into it
• Computational Theory and Mathematics — 75 citations into it
• Artificial Intelligence — 71 citations into it
• Computational Chemistry & Drug Discovery — 26 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Daniele Ongari trusts overall

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

1. Cynthia Rudin
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Brenden M. Lake
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Edward O. Pyzer-Knapp
8. Jerome H. Friedman
9. Thomas G. Dietterich
10. Yann LeCun

Who trusts Daniele Ongari overall

1. Seyed Mohamad Moosavi

Papers from Daniele Ongari's perspective

Ordered by how strongly the researchers Daniele Ongari 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Big-Data Science in Porous Materials: Materials Genomics and Machine Learning (2020) — 469 citations
• Understanding the diversity of the metal-organic framework ecosystem (2020) — 487 citations