Matt Olfat

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Safety Research — 10 citations into it
• Statistics and Probability — 9 citations into it; #11,763 of 12,932 by trust here, #8,279 by citations
• AI Ethics, Fairness & Society — 6 citations into it

Whom Matt Olfat trusts overall

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

1. Jean B. Lasserre
2. Moritz Hardt
3. Paulo Cortez
4. Toon Calders
5. Solon Barocas
6. Alan L. Yuille
7. Muhammad Bilal Zafar
8. Hui Zou
9. Indrė Žliobaitė
10. Dimitris J. Bertsimas

Who trusts Matt Olfat overall

1. Anil Jayanti Aswani
2. Robert C. Williamson
3. Luca Oneto

Papers from Matt Olfat's perspective

Ordered by how strongly the researchers Matt Olfat 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Spectral Algorithms for Computing Fair Support Vector Machines (2017) — 36 citations
• Convex Formulations for Fair Principal Component Analysis (2018) — 55 citations