F. Fallside

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 29 researchers here, as inferred from the citation graph.

Whom F. Fallside trusts overall

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

1. John J. Hopfield

Who trusts F. Fallside overall

1. J. Urgen Schmidhuber
2. Yoshua Bengio
3. Ronald J. Williams
4. Sepp Hochreiter
5. Sergey Levine
6. Quoc V. Le
7. Alex Graves
8. Mohit Bansal
9. Trevor Darrell
10. Ruslan Salakhutdinov

Papers from F. Fallside's perspective

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

1. Neural networks and physical systems with emergent collective computational abilities.
2. G-maximization: An unsupervised learning procedure for discovering regularities
3. Principles of neurodynamics
4. Parallel Distributed Processing: Explorations in the Microstructures of Cognition
5. This PDF file includes: Materials and Methods
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Learning and relearning in Boltzmann machines
8. Best practices for convolutional neural networks applied to visual document analysis
9. A Practical Bayesian Framework for Backprop Networks
10. ImageNet classification with deep convolutional neural networks

Their papers

• The Utility Driven Dynamic Error Propagation Network