Filipe de Avila Belbute-Peres

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Filipe de Avila Belbute-Peres trusts overall

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

1. E. Todorov
2. Brandon Amos
3. Anurag Ranjan
4. Jacob Mattingley
5. Nikhil Mishra
6. Geoffrey E. Hinton
7. Pieter Abbeel
8. Volodymyr Mnih
9. Nicolas Manfred Otto Heess
10. Katerina Fragkiadaki

Who trusts Filipe de Avila Belbute-Peres overall

1. Sam Schoenholz
2. Philipp Holl
3. Luke Metz
4. Tom Silver
5. Laurent El Ghaoui
6. Yuanming Hu
7. C. Freeman
8. Vladlen Koltun
9. Fangda Gu
10. Yunzhu Li

Papers from Filipe de Avila Belbute-Peres's perspective

Ordered by how strongly the researchers Filipe de Avila Belbute-Peres 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. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• End-to-End Differentiable Physics for Learning and Control (2018) — 467 citations