Tommi Vatanen

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 13 papers; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #19,832 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 9 citations into it; #1,693 of 2,601 by trust here, #2,215 by citations
• Statistics and Probability — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Tommi Vatanen trusts overall

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

1. Teuvo Kohonen
2. Geoffrey E. Hinton
3. Shun-ichi Amari
4. Radford M. Neal
5. Eleazar Eskin
6. ENCODEConsortium
7. Tapani Raiko
8. N. Schraudolph
9. Yann LeCun
10. Nicolas Le Roux

Who trusts Tommi Vatanen overall

1. Kaiming He
2. James Martens
3. X. Zhang
4. Krikamol Muandet
5. Yoshua Bengio
6. Roger Baker Grosse
7. Bernhard Schölkopf
8. Shaoqing Ren
9. Trevor Darrell
10. Dacheng Tao

Papers from Tommi Vatanen's perspective

Ordered by how strongly the researchers Tommi Vatanen 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities (2013) — 34 citations
• Semi-supervised detection of collective anomalies with an application in high energy particle physics (2012) — 28 citations
• Natural history of the infant gut microbiome and impact of antibiotic treatments on strain-level diversity and stability (2015) — 931 citations
• The Dynamics of the Human Infant Gut Microbiome in Development and in Progression towards Type 1 Diabetes (2015) — 1,065 citations
• Structure-based protein function prediction using graph convolutional networks (2021) — 926 citations
• Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity (2016) — 1,701 citations
• The effect of host genetics on the gut microbiome (2016) — 767 citations
• Variation in Microbiome LPS Immunogenicity Contributes to Autoimmunity in Humans. (2016) — 752 citations
• A novel Ruminococcus gnavus clade enriched in inflammatory bowel disease patients (2017) — 656 citations
• Gut microbiome structure and metabolic activity in inflammatory bowel disease (2018) — 1,686 citations
• The human gut microbiome of early onset type 1 diabetes in the TEDDY study (2018) — 767 citations
• Temporal development of the gut microbiome in early childhood from the TEDDY study (2018) — 1,695 citations
• Self-organization and missing values in SOM and GTM (2015) — 118 citations