Melanie F. Pradier

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #31,084 of 35,345 by trust here, #34,213 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Statistics and Probability — 5 citations into it

Whom Melanie F. Pradier trusts overall

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

1. Sam T. Roweis
2. Ruslan Salakhutdinov
3. Christian P. Robert
4. Zoubin Ghahramani
5. T. Griffiths
6. Michael E. Tipping
7. Mark A. Girolami
8. Radford M. Neal
9. Wei Chu
10. Diederik P. Kingma

Who trusts Melanie F. Pradier overall

1. Lei Xu

Papers from Melanie F. Pradier's perspective

Ordered by how strongly the researchers Melanie F. Pradier 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• General Latent Feature Models for Heterogeneous Datasets (2017) — 18 citations