Jurgen Van Gael
Artificial Intelligence · 2008–2011
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
Whom Jurgen Van Gael trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence R. Rabiner
- Zoubin Ghahramani
- T. Griffiths
- Yee Whye Teh
- Michael I. Jordan
- Dilan Gorur
- Matthew J. Beal
- Radford M. Neal
- Geoffrey E. Hinton
- Steven L. Scott
Who trusts Jurgen Van Gael overall
- Sotirios P. Chatzis
- Emily B. Fox
- Yacine Jernite
- Adam R. Kosiorek
- Khaled Bayoudh
- Stephan Mandt
- Edouard Grave
- Erik B. Sudderth
- Hyunjik Kim
- Raja Knani
Papers from Jurgen Van Gael's perspective
Ordered by how strongly the researchers Jurgen Van Gael 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
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Measure Transformer Semantics for Bayesian Machine Learning (2011) — 109 citations
- Variational Inference for the Indian Buffet Process (2009) — 158 citations
- The Infinite Factorial Hidden Markov Model (2008) — 112 citations