Alexander Grigorievskiy

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Information Systems — 7 citations into it

Whom Alexander Grigorievskiy trusts overall

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

1. Diederik P. Kingma

Papers from Alexander Grigorievskiy's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Communication-Efficient Learning of Deep Networks from Decentralized Data
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Item-based collaborative filtering recommendation algorithms

Their papers

• Federated Multi-view Matrix Factorization for Personalized Recommendations (2020) — 84 citations