Noor Sajid

Cognitive Neuroscience · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 30 citations into it
• Artificial Intelligence — 18 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Reinforcement Learning — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Cognitive Science & Psychology — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Noor Sajid trusts overall

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

1. David John Cameron MacKay
2. Karl J. Friston
3. Hilbert J. Kappen
4. Brian D. Ziebart
5. Matthew J. Beal
6. Sergey Levine
7. E. Todorov
8. H. Barlow
9. U. Seifert

Papers from Noor Sajid's perspective

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

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

Their papers

• The free energy principle made simpler but not too simple (2022) — 151 citations