Justin Bedo

Molecular Biology · 2007–2016

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 22 citations into it
• Artificial Intelligence — 20 citations into it; #20,013 of 35,345 by trust here, #16,471 by citations
• Statistical Learning Theory — 20 citations into it
• Statistics and Probability — 20 citations into it
• Signal Processing — 8 citations into it
• Finance — 7 citations into it

Whom Justin Bedo trusts overall

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

1. Roger B. Nelsen
2. Paul Embrechts
3. Tao Qin
4. Bernhard Schölkopf
5. Arthur Gretton
6. Johana Nešlehová
7. Friedrich Schmid
8. Manuel Úbeda-Flores
9. Gal Elidan
10. Robert Tibshirani

Who trusts Justin Bedo overall

1. Arthur Gretton
2. David Lopez-Paz

Papers from Justin Bedo's perspective

Ordered by how strongly the researchers Justin Bedo 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. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Supervised feature selection via dependence estimation (2007) — 410 citations
• Multivariate spearman's ρ for aggregating ranks using copulas (2016) — 368 citations
• Feature Selection via Dependence Maximization (2012) — 477 citations