Ole-Christoffer Granmo
Artificial Intelligence · 2010–2019
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #15,262 of 35,345 by trust here, #23,731 by citations
- Management Science and Operations Research — 6 citations into it; #4,403 of 11,946 by trust here, #6,563 by citations
- Reinforcement Learning — 5 citations into it
Whom Ole-Christoffer Granmo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Levente Kocsis
- Sylvain Gelly
- Peter Auer
- Andrew Barto
- Csaba Szepesvari
- John C. Gittins
- Yann LeCun
- P. Shanti Sastry
- Yizao Wang
Who trusts Ole-Christoffer Granmo overall
- Shipra Agrawal
- Navin Goyal
- Emilie Kaufmann
- Zhi Chen
- Tor Lattimore
- Carlos Riquelme
- William T. B. Uther
- Liang Tang
- Yijie Bei
- Csaba Szepesvari
Papers from Ole-Christoffer Granmo's perspective
Ordered by how strongly the researchers Ole-Christoffer Granmo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Reinforcement Learning: An Introduction
Their papers
- Solving two-armed Bernoulli bandit problems using a Bayesian learning automaton (2010) — 157 citations
- The Convolutional Tsetlin Machine (2019) — 104 citations