Wim Wiegerinck

Probabilistic & Bayesian Methods · 1997–2008

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 12 citations into it

Whom Wim Wiegerinck trusts overall

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

1. Lawrence K. Saul
2. Michael I. Jordan
3. Hilbert J. Kappen
4. Carsten Peterson
5. E. Todorov
6. Tommi S. Jaakkola
7. Charles M. Bishop
8. Jonathan S. Yedidia
9. Frank R. Kschischang
10. Radford M. Neal

Who trusts Wim Wiegerinck overall

1. Evangelos A. Theodorou
2. Hilbert J. Kappen
3. David Barber
4. Tom Minka
5. Jonas Buchli
6. Martin J. Wainwright
7. Felix V. Agakov
8. Martijn A. R. Leisink
9. Jason Poulos
10. Stefan Schaal

Papers from Wim Wiegerinck's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems (2008) — 94 citations
• Tractable Variational Structures for Approximating Graphical Models (1998)
• Practical confidence and prediction intervals for prediction tasks (1997)