Evgenii Nikishin

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Reinforcement Learning — 26 citations into it

Whom Evgenii Nikishin trusts overall

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

1. Richard S. Sutton
2. Andrew Barto
3. John Schulman
4. Geoffrey E. Hinton
5. Sergey Ioffe
6. Diederik P. Kingma
7. Yoshua Bengio
8. David Silver
9. Alex Krizhevsky
10. Sergey Levine

Who trusts Evgenii Nikishin overall

1. Linxi (Jim) Fan

Papers from Evgenii Nikishin's perspective

Ordered by how strongly the researchers Evgenii Nikishin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Primacy Bias in Deep Reinforcement Learning (2022) — 307 citations
• OpenAI GPT-5 System Card (2025) — 667 citations
• Improving Stability in Deep Reinforcement Learning with Weight Averaging (2018)