Matteo Ruffini

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 5 citations into it

Whom Matteo Ruffini trusts overall

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

1. Cristóbal Esteban

Who trusts Matteo Ruffini overall

1. Lei Xu

Papers from Matteo Ruffini's perspective

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

1. MIMIC-III, a freely accessible critical care database
2. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
3. Improved Techniques for Training GANs
4. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
5. Dropout: a simple way to prevent neural networks from overfitting
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Generating Synthetic but Plausible Healthcare Record Datasets (2018) — 43 citations