Nasser Jazdi

Artificial Intelligence · with Lindemann · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it

Whom Nasser Jazdi trusts overall

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

1. Ilya Sutskever
2. Daniel Hsu
3. Sepp Hochreiter

Papers from Nasser Jazdi's perspective

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

1. Long Short-Term Memory
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
10. Going deeper with convolutions

Their papers

• A survey on long short-term memory networks for time series prediction (2021) — 649 citations