Kazem Meidani

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Statistical and Nonlinear Physics — 30 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 18 citations into it
• Computational Mechanics — 17 citations into it
• Natural Language Processing — 6 citations into it
• Optimization & Training — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Kazem Meidani trusts overall

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

1. Geoffrey E. Hinton
2. Zong-Yi Li
3. Yoshua Bengio
4. Kaiming He
5. Ilya Sutskever
6. Jimmy Ba
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Xavier Glorot
10. Yann LeCun

Who trusts Kazem Meidani overall

1. Haixu Wu

Papers from Kazem Meidani's perspective

Ordered by how strongly the researchers Kazem Meidani 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transformer for Partial Differential Equations' Operator Learning (2022) — 328 citations