Damiano Binaghi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 16 citations into it
• Reinforcement Learning — 12 citations into it
• Computational Mechanics — 8 citations into it

Whom Damiano Binaghi trusts overall

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

1. Richard S. Sutton
2. Aaron Defazio
3. Julien Mairal
4. Yurii E. Nesterov
5. Jan Peters
6. Sashank J. Reddi
7. Francis R. Bach
8. Andrew Barto
9. Geoffrey E. Hinton
10. Ronald J. Williams

Who trusts Damiano Binaghi overall

1. Amal Feriani
2. Ching-An Cheng

Papers from Damiano Binaghi's perspective

Ordered by how strongly the researchers Damiano Binaghi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Reinforcement Learning: An Introduction
10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers

• Stochastic Variance-Reduced Policy Gradient (2018) — 213 citations