Hamza Merzic

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Reinforcement Learning — 65 citations into it
• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Hamza Merzic trusts overall

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

1. J. Urgen Schmidhuber
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Danilo Jimenez Rezende
6. Alex Graves
7. Richard S. Sutton
8. Karol Gregor
9. Alex Krizhevsky
10. Yann LeCun

Papers from Hamza Merzic's perspective

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

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

Their papers

• Shaping Belief States with Generative Environment Models for RL (2019) — 124 citations
• Causally Correct Partial Models for Reinforcement Learning (2020) — 36 citations