Melody Andrews

Cognitive Neuroscience · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 13 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Melody Andrews trusts overall

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

1. Karl J. Friston
2. Geoffrey E. Hinton
3. Brian D. Sleeman
4. Richard S. Zemel
5. Ping Ao
6. Drew van Camp
7. Radford M. Neal
8. Michael Weisberg
9. Matthew J. Beal
10. Samuel J. Gershman

Papers from Melody Andrews's perspective

Ordered by how strongly the researchers Melody Andrews 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The math is not the territory: navigating the free energy principle (2021) — 86 citations