Fabrizio Pittorino

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Scaling & Learning Theory — 9 citations into it
• Model Architectures — 5 citations into it

Whom Fabrizio Pittorino trusts overall

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

1. E. Gardner
2. Carlo Baldassi
3. M. M'ezard
4. Max Welling
5. Gintare Karolina Dziugaite
6. Mingxing Tan
7. Geoffrey E. Hinton
8. Yann LeCun
9. Quoc V. Le
10. Sixin Zhang

Who trusts Fabrizio Pittorino overall

1. Johannes von Oswald

Papers from Fabrizio Pittorino's perspective

Ordered by how strongly the researchers Fabrizio Pittorino 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Entropic gradient descent algorithms and wide flat minima (2020) — 40 citations
• Shaping the learning landscape in neural networks around wide flat minima (2019) — 102 citations