Maksym Korablyov

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Materials Chemistry — 7 citations into it

Whom Maksym Korablyov trusts overall

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

1. Richard S. Sutton
2. Jan H. Jensen
3. Tuomas Haarnoja

Papers from Maksym Korablyov's perspective

Ordered by how strongly the researchers Maksym Korablyov 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. Reinforcement Learning: An Introduction
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Proximal Policy Optimization Algorithms (arXiv.org)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation (2021) — 514 citations