Bugra Can

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computational Mechanics — 22 citations into it
• Optimization & Training — 18 citations into it
• Numerical Analysis — 8 citations into it
• Mathematical Optimization — 7 citations into it

Whom Bugra Can trusts overall

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

1. Guanghui Lan
2. Boris Polyak
3. Saeed Ghadimi
4. Yurii E. Nesterov
5. Alexandre d'Aspremont
6. Sébastien Gadat
7. Euhanna Ghadimi
8. Michael Cohen
9. Nicolas Loizou
10. Vladimir Naumovich Vapni

Who trusts Bugra Can overall

1. Nicolas Loizou
2. Mahmoud Assran

Papers from Bugra Can's perspective

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

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

Their papers

• Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances (2019) — 49 citations