Mark Koren

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it
• Reinforcement Learning — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Mark Koren trusts overall

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

1. Levente Kocsis
2. John Schulman
3. Csaba Szepesvari
4. Sergey Levine
5. Andrew Barto
6. Richard S. Sutton
7. Mykel J. Kochenderfer
8. Pieter Abbeel

Who trusts Mark Koren overall

1. Miles Brundage

Papers from Mark Koren's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Trust Region Policy Optimization (International Conference on Machine Learning)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Intriguing properties of neural networks
5. Gradient-based learning applied to document recognition
6. Explaining and Harnessing Adversarial Examples
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Reinforcement Learning: An Introduction
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (2020) — 480 citations
• The Adaptive Stress Testing Formulation (2020) — 11 citations