Gregorio Alanis-Lobato

Molecular Biology · 2013–2016

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 50 citations into it
• Statistical and Nonlinear Physics — 24 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Algorithms & Complexity — 5 citations into it

Whom Gregorio Alanis-Lobato trusts overall

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

1. Geoffrey E. Hinton
2. Mark Newman
3. Huaiyu Mi
4. Minoru Kanehisa
5. Asa Ben-Hur
6. L. V. D. van der Maaten
7. Marcus Kaiser
8. Casey S. Greene
9. Aaron Clauset
10. Sam T. Roweis

Who trusts Gregorio Alanis-Lobato overall

1. Benjamin B. Sun

Papers from Gregorio Alanis-Lobato's perspective

Ordered by how strongly the researchers Gregorio Alanis-Lobato 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. Learning Multiple Layers of Features from Tiny Images
8. Visualizing Data using t-SNE
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• HIPPIE v2.0: enhancing meaningfulness and reliability of protein–protein interaction networks (2016) — 484 citations
• From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks (2013) — 370 citations
• Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding (2013) — 133 citations