Mónica F. Bugallo

Artificial Intelligence · 2003–2018

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #26,658 of 35,345 by trust here, #19,873 by citations
• Statistics and Probability — 17 citations into it; #9,939 of 12,932 by trust here, #5,294 by citations
• Probabilistic & Bayesian Methods — 16 citations into it

Whom Mónica F. Bugallo trusts overall

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

1. Radford M. Neal
2. Arnaud Doucet
3. Tim Hesterberg
4. Jun S. Liu
5. Ryan P. Adams
6. Neil J. Gordon
7. Olivier Capp'e
8. Matthew J. Johnson

Who trusts Mónica F. Bugallo overall

1. Luca Martino
2. Victor Elvira
3. Christian P. Robert

Papers from Mónica F. Bugallo's perspective

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

1. A Recurrent Latent Variable Model for Sequential Data
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Monte Carlo Strategies in Scientific Computing
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Attention is All you Need (Neural Information Processing Systems)
7. Population Monte Carlo
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. Monte Carlo strategies in scientific computing

Their papers

• Generalized Multiple Importance Sampling (2015) — 169 citations
• Particle filtering (2003) — 547 citations
• Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling (2018) — 85 citations