Kambis Veschgini

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #18,733 of 35,345 by trust here, #12,244 by citations
• Optimization & Training — 14 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #11,809 of 21,575 by trust here, #8,502 by citations
• Model Architectures — 6 citations into it

Whom Kambis Veschgini trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Yoshua Bengio
7. Graeme Henkelman
8. Gao Huang
9. Yann LeCun
10. X. Zhang

Who trusts Kambis Veschgini overall

1. Pavel Izmailov
2. Andrew Gordon Wilson
3. Stanislav Fort
4. Seyed Iman Mirzadeh
5. Luca Venturi
6. Thang Van Doan
7. Samuel K. Ainsworth
8. Lior Deutsch
9. Stéphane d'Ascoli
10. Jihong Park

Papers from Kambis Veschgini's perspective

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

Their papers

• Essentially No Barriers in Neural Network Energy Landscape (2018) — 557 citations