Gaurav Manek

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #15,141 of 35,345 by trust here, #17,412 by citations
• Computer Vision and Pattern Recognition — 12 citations into it; #16,234 of 21,575 by trust here, #12,419 by citations
• Generative Models — 7 citations into it
• Control and Systems Engineering — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Gaurav Manek trusts overall

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

1. Pablo A. Parrilo
2. Diederik P. Kingma
3. Kaiming He
4. Seyed Mohammad Khansari-Zadeh
5. Antonis Papachristodoulou
6. Brandon Amos
7. Max Welling
8. Geoffrey E. Hinton
9. X. Zhang
10. Alex Krizhevsky

Who trusts Gaurav Manek overall

1. Jonas Köhler
2. Stephen Tu
3. Samet Akcay

Papers from Gaurav Manek's perspective

Ordered by how strongly the researchers Gaurav Manek 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Efficient GAN-Based Anomaly Detection (2018) — 607 citations
• Learning Stable Deep Dynamics Models (2020) — 246 citations