Akim Kotelnikov

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 19 citations into it
• Signal Processing — 7 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Biophysics — 5 citations into it

Whom Akim Kotelnikov trusts overall

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

1. Prafulla Dhariwal
2. Alex Nichol
3. Jonathan Ho
4. Diederik P. Kingma
5. Yang Song
6. Geoffrey E. Hinton
7. Jascha Narain Sohl-Dickstein
8. Alex Krizhevsky
9. Yoshua Bengio
10. Pierre Baldi

Papers from Akim Kotelnikov's perspective

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

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

Their papers

• TabDDPM: Modelling Tabular Data with Diffusion Models (2022) — 613 citations