Kurt T. Miller

Artificial Intelligence · 2009

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Statistics and Probability — 8 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Kurt T. Miller trusts overall

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

1. Radford M. Neal
2. T. Griffiths
3. Romain Thibaux
4. Michael I. Jordan
5. Zoubin Ghahramani
6. Krzysztof Nowicki
7. Dilan Gorur
8. Tom A. B. Snijders
9. Matthew J. Beal
10. Edoardo M. Airoldi

Who trusts Kurt T. Miller overall

1. Qingyao Ai
2. Sotirios P. Chatzis
3. Jun Zhu
4. Shuangfei Zhai
5. Muhan Zhang
6. Changwei Hu
7. Roger Baker Grosse
8. Rodolphe Jenatton
9. Palash Goyal
10. Zhaoquan Yuan

Papers from Kurt T. Miller's perspective

Ordered by how strongly the researchers Kurt T. Miller 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Variational Inference for the Indian Buffet Process (2009) — 158 citations
• Nonparametric Latent Feature Models for Link Prediction (2009) — 436 citations