Lancelot Da Costa

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 Lancelot Da Costa 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
10. Laurent Itti

Papers from Lancelot Da Costa's perspective

Ordered by how strongly the researchers Lancelot Da Costa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Reinforcement Learning: An Introduction
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

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