Aapo Nummenmaa

Artificial Intelligence · 2009–2013

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #20,665 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 10 citations into it; #1,342 of 1,525 by trust here, #1,415 by citations

Whom Aapo Nummenmaa trusts overall

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

1. David John Cameron MacKay
2. Tom Minka
3. Radford M. Neal
4. Masa-aki Sato
5. David Paul Wipf
6. Peter M. Williams
7. Arnaud Doucet
8. David Barber
9. Jouko Lampinen
10. Gomes de Freitas

Who trusts Aapo Nummenmaa overall

1. Simo Särkkä
2. José Miguel Hernández-Lobato
3. Martin Havlicek
4. Yulong Huang

Papers from Aapo Nummenmaa's perspective

Ordered by how strongly the researchers Aapo Nummenmaa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Bayesian learning for neural networks
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
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
• Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations (2009) — 644 citations