Jan Luts

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #18,404 of 35,345 by trust here, #34,213 by citations
• Statistics and Probability — 16 citations into it; #6,716 of 12,932 by trust here, #12,077 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Jan Luts trusts overall

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

1. Bradley Efron
2. Vladimir Naumovich Vapni
3. Vladimir Naumovich Vapnik
4. Matt P. Wand
5. Corinna Cortes
6. Tom Minka
7. Radford M. Neal
8. Robert Tibshirani
9. Bernhard Schölkopf
10. Trevor J. Hastie

Who trusts Jan Luts overall

1. David Rohde
2. David M. Blei
3. Matt P. Wand
4. Arnald Alonso
5. Alp Kucukelbir
6. Jon D. McAuliffe
7. Sara Marsal

Papers from Jan Luts's perspective

Ordered by how strongly the researchers Jan Luts 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. The Nature of Statistical Learning Theory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Pattern Recognition and Machine Learning
7. Support-Vector Networks
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Variational inference for count response semiparametric regression (2013) — 40 citations
• A tutorial on support vector machine-based methods for classification problems in chemometrics. (2010) — 315 citations