Guy Revach

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Guy Revach trusts overall

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

1. Diederik P. Kingma
2. Ienkaran Arasaratnam
3. Yoshua Bengio
4. Max Welling
5. David M. Blei
6. Geoffrey E. Hinton
7. Tim Salimans
8. Simon S. Haykin
9. Mounir Ben Nasr
10. Ka-Veng Yuen

Papers from Guy Revach's perspective

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

Their papers

• KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics (2021) — 576 citations