David Brandfonbrener

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #27,135 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 32 citations into it; #1,823 of 2,242 by trust here, #2,063 by citations
• Management Science and Operations Research — 12 citations into it

Whom David Brandfonbrener trusts overall

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

1. Scott Fujimoto
2. Sham M. Kakade
3. Richard S. Sutton
4. Sergey Levine
5. Geoffrey E. Hinton
6. John Schulman
7. Diederik P. Kingma
8. Ruosong Wang
9. Aviral Kumar
10. Yoshua Bengio

Who trusts David Brandfonbrener overall

1. Ilya Kostrikov
2. Zhendong Wang
3. Scott Emmons
4. Sergey Levine
5. Ashvin Nair
6. Jonathan J. Hunt
7. Benjamin Eysenbach
8. Charles Burton Snell

Papers from David Brandfonbrener's perspective

Ordered by how strongly the researchers David Brandfonbrener 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Human-level control through deep reinforcement learning
9. Reinforcement Learning: An Introduction
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Offline RL Without Off-Policy Evaluation (2021) — 205 citations