Nikolaos N. Vlassis

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Materials Chemistry — 12 citations into it
• Mechanics of Materials — 10 citations into it
• Graph Learning — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Computational Mechanics — 7 citations into it
• Mechanical Engineering — 5 citations into it

Whom Nikolaos N. Vlassis trusts overall

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

1. Kun Wang
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Pascal Vincent
8. Tomas Mikolov
9. WaiChing Sun
10. Thomas Kipf

Papers from Nikolaos N. Vlassis's perspective

Ordered by how strongly the researchers Nikolaos N. Vlassis 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. 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. Learning Multiple Layers of Features from Tiny Images
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

• Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity (2020) — 207 citations