Seppo Virtanen
Artificial Intelligence · 2010–2013
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it; #1,018 of 1,525 by trust here, #1,176 by citations
- Statistics and Probability — 5 citations into it; #7,955 of 12,932 by trust here, #8,740 by citations
Whom Seppo Virtanen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francis R. Bach
- Cédric Archambeau
- Grigorios Tsoumakas
- Michael I. Jordan
- Alexei Vinokourov
- Peter D. Hoff
- Michael W. Browne
- Nati Srebro
- Radford M. Neal
- John Shawe-Taylor
Who trusts Seppo Virtanen overall
Papers from Seppo Virtanen's perspective
Ordered by how strongly the researchers Seppo Virtanen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Bayesian Canonical correlation analysis (2013) — 192 citations
- Bayesian exponential family projections for coupled data sources (2010) — 33 citations