Joan Bruna

Artificial Intelligence · with Brandfonbrener · 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; #27,134 of 35,345 by trust here, #29,412 by citations
• Reinforcement Learning — 32 citations into it; #1,821 of 2,242 by trust here, #2,063 by citations
• Management Science and Operations Research — 12 citations into it

Whom Joan Bruna 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. Aviral Kumar
9. Ruosong Wang
10. Yoshua Bengio

Who trusts Joan Bruna overall

1. Sergey Levine
2. Ilya Kostrikov

Papers from Joan Bruna's perspective

Ordered by how strongly the researchers Joan Bruna 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. Human-level control through deep reinforcement learning
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Trust Region Policy Optimization (International Conference on Machine Learning)
8. Long Short-Term Memory
9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

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