Marco Fiscato

Computational Theory and Mathematics · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 35 citations into it; #10,657 of 12,182 by trust here, #3,681 by citations
• Materials Chemistry — 20 citations into it; #8,830 of 11,513 by trust here, #8,144 by citations
• Artificial Intelligence — 11 citations into it

Whom Marco Fiscato trusts overall

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

1. J. Urgen Schmidhuber
2. Jan H. Jensen
3. Sepp Hochreiter
4. Marwin H. S. Segler
5. Peter Ertl
6. Gabriel Lima Guimaraes
7. Geoffrey E. Hinton
8. Qi Liu
9. Jaechang Lim
10. Hongming Chen

Who trusts Marco Fiscato overall

1. Simon Axelrod
2. Tianfan Fu
3. Kevin Maik Jablonka
4. José Jiménez-Luna
5. Wenhao Gao

Papers from Marco Fiscato's perspective

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

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

Their papers

• GuacaMol: Benchmarking Models for De Novo Molecular Design (2018) — 942 citations