Marko Jarvenpaa

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Statistics and Probability — 15 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it; #1,523 of 1,525 by trust here, #1,274 by citations

Whom Marko Jarvenpaa trusts overall

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

1. MARK A. Beaumont
2. Simon N. Wood
3. Michael G. B. Blum
4. Michael U Gutmann
5. Jean-Michel Marin
6. Philipp Hennig
7. Håvard Rue
8. Paul Marjoram
9. Elizabeth G. Ryan
10. Carl E. Rasmussen

Who trusts Marko Jarvenpaa overall

1. Jan-Matthis Lueckmann
2. George Papamakarios
3. Owen Thomas
4. Giacomo Bassetto
5. David C. Sterratt
6. Jakob H. Macke

Papers from Marko Jarvenpaa's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Markov chain Monte Carlo without likelihoods
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Approximate Bayesian computation in population genetics.
10. Long Short-Term Memory

Their papers

• Efficient Acquisition Rules for Model-Based Approximate Bayesian Computation (2017) — 72 citations