Paola M. V. Rancoita

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it
• Statistical Learning Theory — 9 citations into it
• Artificial Intelligence — 6 citations into it

Whom Paola M. V. Rancoita trusts overall

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

1. Arthur Gretton
2. Kenji Fukumizu
3. Alex Smola
4. Bernhard Schölkopf
5. José Carlos Príncipe
6. Bharath K. Sriperumbudur
7. Gavin E. Crooks
8. Lecture Notes
9. Francis R. Bach
10. Jerome H. Friedman

Who trusts Paola M. V. Rancoita overall

1. Krikamol Muandet
2. Kenji Fukumizu

Papers from Paola M. V. Rancoita's perspective

Ordered by how strongly the researchers Paola M. V. Rancoita trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Testing Hypotheses by Regularized Maximum Mean Discrepancy (2013) — 9 citations