B. Kulchytskyy

Artificial Intelligence · 2016

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

• Artificial Intelligence — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom B. Kulchytskyy trusts overall

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

1. Geoffrey E. Hinton
2. Radford M. Neal

Papers from B. Kulchytskyy's perspective

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

1. A Fast Learning Algorithm for Deep Belief Nets
2. Training Products of Experts by Minimizing Contrastive Divergence
3. Deep Boltzmann Machines
4. Pattern Recognition and Machine Learning
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. OPTIMAL PERCEPTUAL INFERENCE
8. Gradient-based learning applied to document recognition
9. Modeling pixel means and covariances using factorized third-order boltzmann machines
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Quantum Boltzmann Machine (2016) — 599 citations