Lucas Swiniarski

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 9 citations into it
• Signal Processing — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Lucas Swiniarski trusts overall

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

1. Zoubin Ghahramani
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Jeffrey L. Elman
5. Sergey Ioffe
6. Yoshua Bengio
7. Vinod Nair
8. Mehdi Mirza
9. Alex Krizhevsky
10. Ian J. Goodfellow

Papers from Lucas Swiniarski's perspective

Ordered by how strongly the researchers Lucas Swiniarski 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

• Sample Path Generation for Probabilistic Demand Forecasting (2018) — 12 citations