Thomas Desautels

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Management Science and Operations Research — 10 citations into it
• Reinforcement Learning — 9 citations into it
• Statistics and Probability — 5 citations into it

Whom Thomas Desautels trusts overall

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

1. Jonas Mockus
2. Andreas Krause
3. Donald R. Jones
4. Eric Brochu
5. Jacob D. Abernethy
6. Yasin Abbasi-Yadkori
7. Peter Auer
8. David Ginsbourger
9. Daniel J. Lizotte
10. Hui Zou

Who trusts Thomas Desautels overall

1. Chris J. Thornton
2. Kirthevasan Kandasamy
3. Nicolas Papernot
4. Frank Hutter
5. Tong Yu
6. Tor Lattimore
7. Jian Wu
8. Amar Shah
9. Mostafa Dehghani
10. James T. Wilson

Papers from Thomas Desautels's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Information Theory: 1948-1998 - Guest Editorial
5. Some aspects of the sequential design of experiments
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Reinforcement Learning: An Introduction
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Finite-time Analysis of the Multiarmed Bandit Problem

Their papers

• Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach (2016) — 489 citations
• Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization (2012) — 511 citations