Matti Tornio

Artificial Intelligence · 2007–2010

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #10,791 of 35,345 by trust here, #16,471 by citations
• Probabilistic & Bayesian Methods — 10 citations into it; #400 of 1,525 by trust here, #601 by citations
• Control and Systems Engineering — 9 citations into it; #1,095 of 8,257 by trust here, #3,865 by citations
• Statistics and Probability — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Matti Tornio trusts overall

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

1. Christopher G. Atkeson
2. Shun-ichi Amari
3. Harri Valpola
4. Richard S. Sutton
5. Masa-aki Sato
6. Zoubin Ghahramani
7. Juha Karhunen
8. Marc Toussaint
9. Hagai Thomas Attias
10. Charles M. Bishop

Who trusts Matti Tornio overall

1. Marc Peter Deisenroth
2. David A. Knowles
3. Adam Gaier
4. Rahul G. Krishnan
5. David Rohde
6. Alessandro Achille
7. Yunpeng Pan
8. Razvan Pascanu
9. Junhyuk Oh
10. Linda S. L. Tan

Papers from Matti Tornio's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. An Introduction to Variational Methods for Graphical Models
10. ImageNet: A large-scale hierarchical image database

Their papers

• Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes (2010) — 114 citations
• Natural Conjugate Gradient in Variational Inference (2007) — 51 citations
• Variational Bayesian learning of nonlinear hidden state-space models for model predictive control (2009) — 43 citations