Mohamad Baydoun

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Mohamad Baydoun trusts overall

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

1. Arnaud Doucet
2. Fredrik K. Gustafsson
3. D. Simon
4. Diederik P. Kingma
5. Max Welling
6. Neil J. Gordon
7. Robert K. Harle
8. Nando de Freitas
9. Geoffrey E. Hinton

Who trusts Mohamad Baydoun overall

1. Damian Campo

Papers from Mohamad Baydoun's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Continual Learning Of Predictive Models In Video Sequences Via Variational Autoencoders (2020) — 5 citations
• Learning Switching Models for Abnormality Detection for Autonomous Driving (2018) — 43 citations