Basilis Gidas

1988

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Basilis Gidas trusts overall

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

1. Julian Besag
2. John J. Hopfield

Who trusts Basilis Gidas overall

1. Sivaraman Balakrishnan
2. Aapo Hyvärinen
3. Hetunandan Kamisetty
4. Max Welling
5. Jennifer Neville

Papers from Basilis Gidas's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. A Fast Learning Algorithm for Deep Belief Nets
3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
4. Optimization by Simulated Annealing
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. This PDF file includes: Materials and Methods
7. On the Foundations of Relaxation Labeling Processes
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Dropout: a simple way to prevent neural networks from overfitting
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Consistency of Maximum Likelihood and Pseudo-Likelihood Estimators for Gibbs Distributions (1988)