Spyridon Dimitriadis

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Materials Chemistry — 10 citations into it
• Large Language Models — 7 citations into it
• Molecular Biology — 7 citations into it
• Natural Language Processing — 7 citations into it
• Computational Chemistry & Drug Discovery — 5 citations into it

Whom Spyridon Dimitriadis trusts overall

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

1. Alec Radford
2. Sebastian Ruder
3. Esben Jannik Bjerrum
4. Geoffrey E. Hinton
5. Dan Hendrycks
6. Diederik P. Kingma
7. Jacob Devlin
8. Yoshua Bengio
9. Leslie N. Smith
10. Teague Sterling

Papers from Spyridon Dimitriadis's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Chemformer: a pre-trained transformer for computational chemistry (2021) — 468 citations