Dirk Stroobandt
Probabilistic & Bayesian Methods · 2007–2013
A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Probabilistic & Bayesian Methods — 18 citations into it
- Artificial Intelligence — 14 citations into it; #15,739 of 35,345 by trust here, #15,542 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Model Architectures — 6 citations into it
- Generative Models — 5 citations into it
Whom Dirk Stroobandt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Ruslan Salakhutdinov
- Yoshua Bengio
- Justin Domke
- Hugo Larochelle
- Radford M. Neal
- Ilya Sutskever
- Neil D. Lawrence
- Alex Krizhevsky
Who trusts Dirk Stroobandt overall
Papers from Dirk Stroobandt's perspective
Ordered by how strongly the researchers Dirk Stroobandt 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Training energy-based models for time-series imputation (2013) — 41 citations
- 2007 Special Issue: An experimental unification of reservoir computing methods (2007) — 1,061 citations