Maciej Szymczak

Computational Theory and Mathematics · 2020

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 33 citations into it
• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Maciej Szymczak trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Yann LeCun
6. Sepp Hochreiter
7. Stanislav Fort
8. Diederik P. Kingma
9. Ian J. Goodfellow
10. Ilya Sutskever

Papers from Maciej Szymczak's perspective

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

Their papers

• The Break-Even Point on Optimization Trajectories of Deep Neural Networks (2020) — 203 citations
• Emulating Docking Results Using a Deep Neural Network: A New Perspective for Virtual Screening (2020) — 26 citations