Arthur Pesah

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Arthur Pesah trusts overall

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

1. Simon S. Haykin
2. Michael U Gutmann
3. Geoffrey E. Hinton
4. Gilles Louppe
5. Yoshua Bengio
6. David E. Rumelhart
7. Daan Wierstra
8. Kunihiko Fukushima
9. MARK A. Beaumont
10. Yann LeCun

Who trusts Arthur Pesah overall

1. Eric R. Anschuetz
2. M. Cerezo
3. Martín Larocca
4. Bobak Toussi Kiani

Papers from Arthur Pesah's perspective

Ordered by how strongly the researchers Arthur Pesah 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Recurrent machines for likelihood-free inference (2018) — 5 citations
• Absence of Barren Plateaus in Quantum Convolutional Neural Networks (2020) — 389 citations