Alexandru Damian

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it; #19,734 of 21,575 by trust here, #8,722 by citations
• Natural Language Processing — 22 citations into it
• Optimization & Training — 17 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Generative Models — 8 citations into it; #1,810 of 1,956 by trust here, #989 by citations

Whom Alexandru Damian trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Diederik P. Kingma
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Tero Karras
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Alexandru Damian overall

1. Xintao Wang
2. Chitwan Saharia
3. Varun A. Kelkar
4. Peihao Zhu
5. Andreas Lugmayr
6. Kyoungkook Kang
7. Yuval Alaluf
8. Anton Cherepkov
9. Kelvin C. K. Chan
10. Tao Yang

Papers from Alexandru Damian's perspective

Ordered by how strongly the researchers Alexandru Damian 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models (2020) — 648 citations
• Fine-Tuning Language Models with Just Forward Passes (2023) — 422 citations