Laura Aviñó
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 Laura Aviñó trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Laura Aviñó overall
Papers from Laura Aviñó's perspective
Ordered by how strongly the researchers Laura Aviñó trusts endorse each paper. Same corpus, a different order for every researcher.
- MIMIC-III, a freely accessible critical care database
- Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
- Improved Techniques for Training GANs
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
Their papers
- Generating Synthetic but Plausible Healthcare Record Datasets (2018) — 43 citations