Francisco de Borja Rodríguez Ortiz

Probabilistic & Bayesian Methods · 1998

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Francisco de Borja Rodríguez Ortiz trusts overall

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

1. Lawrence K. Saul
2. David J. Willshaw

Who trusts Francisco de Borja Rodríguez Ortiz overall

1. Aapo Hyvärinen
2. Max Welling
3. Ryan Giordano
4. Geoffrey E. Hinton

Papers from Francisco de Borja Rodríguez Ortiz's perspective

Ordered by how strongly the researchers Francisco de Borja Rodríguez Ortiz trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Learning Algorithm for Boltzmann Machines
2. Mean Field Theory for Sigmoid Belief Networks
3. An analogue approach to the travelling salesman problem using an elastic net method
4. Information Theory and Statistics
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Efficient Learning in Boltzmann Machines Using Linear Response Theory (1998)