Carl Henrik Ek
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it; #29,960 of 35,345 by trust here, #27,551 by citations
Whom Carl Henrik Ek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Neil D. Lawrence
- Michalis K. Titsias
- Martin A. Riedmiller
- Malte Kuss
- Andreas C. Damianou
- Athinodoros S. Georghiades
- Jihun Ham
- Aaron P. Shon
- Kuang-chih Lee
- Mathieu Salzmann
Who trusts Carl Henrik Ek overall
- Sebastian Ruder
- Chang Xu
- Andreas C. Damianou
- Weiran Wang
- Shiwen Zhao
- Yash Mehta
- Joachim Bingel
- Dacheng Tao
- Honglak Lee
- Arto Klami
Papers from Carl Henrik Ek's perspective
Ordered by how strongly the researchers Carl Henrik Ek 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
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Reinforcement Learning: An Introduction
- ImageNet Large Scale Visual Recognition Challenge
- 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)
- Long Short-Term Memory
Their papers
- Manifold Relevance Determination (2012) — 111 citations
- Interpretable Dynamics Models for Data-efficient Reinforcement Learning (2019) — 4 citations
- Factorized Orthogonal Latent Spaces (2010) — 128 citations
- International workshop on machine learning for multimodal interaction (2007) — 49 citations