Miguel Calvo-Fullana

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it; #28,668 of 35,345 by trust here, #28,481 by citations
• Optimization & Training — 12 citations into it
• Reinforcement Learning — 12 citations into it
• Statistical Learning Theory — 9 citations into it
• Management Science and Operations Research — 9 citations into it
• Statistics and Probability — 5 citations into it

Whom Miguel Calvo-Fullana trusts overall

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

1. Dimitri P. Bertsekas
2. Richard S. Sutton
3. Eric R. Ziegel
4. Diederik P. Kingma
5. Vijay R. Konda
6. Geoffrey E. Hinton
7. John N. Tsitsiklis

Who trusts Miguel Calvo-Fullana overall

1. Liangzu Peng

Papers from Miguel Calvo-Fullana's perspective

Ordered by how strongly the researchers Miguel Calvo-Fullana trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Intriguing properties of neural networks
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Trust Region Policy Optimization (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Constrained Reinforcement Learning Has Zero Duality Gap (2019) — 258 citations
• Constrained Learning With Non-Convex Losses (2021) — 65 citations