Isidoros Perikos

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Isidoros Perikos trusts overall

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

1. Geoffrey E. Hinton
2. Arthur P. Dempster
3. Bernhard E. Boser

Papers from Isidoros Perikos's perspective

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

1. Dropout: a simple way to prevent neural networks from overfitting
2. Automatic differentiation in PyTorch
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. ImageNet classification with deep convolutional neural networks
5. A training algorithm for optimal margin classifiers
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Machine Learning Basics (2021) — 346 citations