Pasi Jylänki

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #28,561 of 35,345 by trust here, #31,361 by citations
• Probabilistic & Bayesian Methods — 24 citations into it; #1,343 of 1,525 by trust here, #1,415 by citations
• Statistics and Probability — 19 citations into it
• Optimization & Training — 5 citations into it

Whom Pasi Jylänki trusts overall

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

1. Tom Minka
2. Radford M. Neal
3. David Paul Wipf
4. Peter M. Williams
5. Matthias W. Seeger
6. David Barber
7. Jouko Lampinen
8. Gomes de Freitas
9. Dumitru Erhan
10. Manfred Opper

Who trusts Pasi Jylänki overall

1. José Miguel Hernández-Lobato
2. Ryan P. Adams

Papers from Pasi Jylänki's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Expectation propagation for neural networks with sparsity-promoting priors (2013) — 38 citations
• Expectation Propagation as a Way of Life (2020) — 26 citations
• Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data (2014) — 43 citations