Ari Weinstein

Cognitive Neuroscience · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 46 citations into it; #4,197 of 10,852 by trust here, #5,990 by citations
• Artificial Intelligence — 32 citations into it; #18,747 of 35,345 by trust here, #27,551 by citations
• Reinforcement Learning — 17 citations into it
• Social Psychology — 10 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Experimental and Cognitive Psychology — 8 citations into it
• Molecular Biology — 5 citations into it

Whom Ari Weinstein trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Matthew Botvinick
4. Peter S. Dayan
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Michael J Frank
8. Nathaniel D. Daw
9. Kaiming He
10. David Badre

Who trusts Ari Weinstein overall

1. Ida Momennejad
2. D. Gunning
3. Tejas D. Kulkarni

Papers from Ari Weinstein's perspective

Ordered by how strongly the researchers Ari Weinstein 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. Long Short-Term Memory
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. Reinforcement Learning: An Introduction
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Model-based hierarchical reinforcement learning and human action control (2014) — 161 citations
• Probing Physics Knowledge Using Tools from Developmental Psychology (2018) — 38 citations
• Reinforcement learning, efficient coding, and the statistics of natural tasks (2015) — 53 citations