Gianmarco Calbi

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Optimization & Training — 21 citations into it
• Computer Networks and Communications — 14 citations into it
• Computational Mechanics — 11 citations into it
• ML Systems & Hardware — 10 citations into it

Whom Gianmarco Calbi trusts overall

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

1. Angelia Nedić
2. Brendan D. McKay
3. John C. Duchi
4. Pierre Baldi
5. Songze Li
6. Can Bülent Karakus
7. Alekh Agarwal
8. Yann LeCun
9. Sébastien Bubeck
10. Asuman E. Ozdaglar

Who trusts Gianmarco Calbi overall

1. Othmane Marfoq

Papers from Gianmarco Calbi's perspective

Ordered by how strongly the researchers Gianmarco Calbi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Decentralized gradient methods: does topology matter? (2020) — 67 citations
• The Role of Network Topology for Distributed Machine Learning (2019) — 59 citations