Pavlos Petoumenos

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Information Systems — 17 citations into it
• Natural Language Processing — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Software — 7 citations into it
• Model Architectures — 6 citations into it
• Large Language Models — 5 citations into it
• Signal Processing — 5 citations into it

Whom Pavlos Petoumenos trusts overall

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

1. Miltiadis Allamanis
2. Tomas Mikolov
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Alex Graves
8. Veselin Raychev
9. Sepp Hochreiter
10. Oriol Vinyals

Who trusts Pavlos Petoumenos overall

1. Tal Ben-Nun
2. Chris Cummins

Papers from Pavlos Petoumenos's perspective

Ordered by how strongly the researchers Pavlos Petoumenos 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Deep Learning of Optimization Heuristics (2017) — 214 citations
• Synthesizing benchmarks for predictive modeling (2017) — 121 citations