Cristian Lumezanu

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Statistics and Probability — 9 citations into it

Whom Cristian Lumezanu trusts overall

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

1. Diederik P. Kingma

Papers from Cristian Lumezanu's perspective

Ordered by how strongly the researchers Cristian Lumezanu 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. ImageNet classification with deep convolutional neural networks
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Fully convolutional networks for semantic segmentation
10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers

• A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (2018) — 934 citations
• Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (2018) — 2,127 citations