Dmitry Baranchuk

Artificial Intelligence · with Fortuin · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #30,964 of 35,345 by trust here, #29,412 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #19,140 of 21,575 by trust here, #18,782 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Generative Models — 7 citations into it
• Signal Processing — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Dmitry Baranchuk trusts overall

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

1. Diederik P. Kingma
2. Neil D. Lawrence
3. Michael I. Jordan
4. Yann LeCun
5. Geoffrey E. Hinton
6. Tamer Basar
7. Danilo Jimenez Rezende
8. Yoshua Bengio
9. David M. Blei
10. Martin J. Wainwright

Who trusts Dmitry Baranchuk overall

1. Juan Miguel Lopez Alcaraz
2. Pablo Moreno-Muñoz

Papers from Dmitry Baranchuk's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• GP-VAE: Deep Probabilistic Time Series Imputation (2019) — 402 citations