Tuomas Sivula

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Statistics and Probability — 19 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Optimization & Training — 5 citations into it

Whom Tuomas Sivula trusts overall

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

1. Tom Minka
2. Rajesh Ranganath
3. Manfred Opper
4. Pierre Del Moral
5. Michael Betancourt
6. David M. Blei
7. Dustin Tran
8. Håvard Rue
9. Matthias W. Seeger
10. Tom Heskes Onno Zoeter

Papers from Tuomas Sivula's perspective

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

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

Their papers

• 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