Peter Sykacek

Probabilistic & Bayesian Methods · 2004–2014

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 6 citations into it

Whom Peter Sykacek trusts overall

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

1. Michael I. Jordan
2. Zoubin Ghahramani
3. James O. Berger
4. Carl Dean Meyer
5. Yann LeCun
6. Tommi S. Jaakkola
7. Jonathan R. Wolpaw
8. Neil J. Gordon
9. Harri Valpola
10. Yoshua Bengio

Who trusts Peter Sykacek overall

1. Ali Bashashati
2. Mehrdad Fatourechi

Papers from Peter Sykacek's perspective

Ordered by how strongly the researchers Peter Sykacek 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
• Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation (2004) — 108 citations