Oleksii Prykhodko

Computational Theory and Mathematics · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 42 citations into it
• Model Architectures — 8 citations into it

Whom Oleksii Prykhodko trusts overall

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

1. Andrew L. Maas
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Nicola De Cao
5. Ian J. Goodfellow
6. Ronald J. Williams
7. Yoshua Bengio
8. Jesse Engel
9. Zhifei Zhang
10. Sepp Hochreiter

Who trusts Oleksii Prykhodko overall

1. Yuanqi Du
2. Łukasz Maziarka

Papers from Oleksii Prykhodko's perspective

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

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

Their papers

• A de novo molecular generation method using latent vector based generative adversarial network (2019) — 356 citations
• Randomized SMILES strings improve the quality of molecular generative models (2019) — 340 citations