Marianne Menictas

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 7 citations into it; #6,260 of 12,932 by trust here, #10,275 by citations
• Artificial Intelligence — 6 citations into it; #17,224 of 35,345 by trust here, #31,361 by citations

Whom Marianne Menictas trusts overall

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

1. Matt P. Wand
2. John Thomas Ormerod
3. David Barber
4. Edzer J. Pebesma
5. Martin J. Wainwright
6. David A. Knowles
7. Robert A. Rigby
8. Edward Challis
9. Michael I. Jordan
10. Ciprian M. Crainiceanu

Who trusts Marianne Menictas overall

1. David Rohde
2. David M. Blei
3. Matt P. Wand
4. Alp Kucukelbir
5. Jan Luts
6. Jon D. McAuliffe

Papers from Marianne Menictas's perspective

Ordered by how strongly the researchers Marianne Menictas 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Expectation Propagation for approximate Bayesian inference
10. Graphical Models, Exponential Families, and Variational Inference

Their papers

• Variational Inference for Heteroscedastic Semiparametric Regression (2015) — 20 citations