Johannes Berg

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 45 citations into it
• Cognitive Neuroscience — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Computational Biology & Bioinformatics — 14 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Johannes Berg trusts overall

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

1. Julian Besag
2. Radford M. Neal
3. David John Cameron MacKay
4. E. van Nimwegen
5. Jonathan S. Yedidia
6. Eric R. Ziegel
7. Thierry Mora
8. William Bialek
9. Aapo Hyvärinen
10. M. M'ezard

Papers from Johannes Berg's perspective

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

1. Gradient-based learning applied to document recognition
2. This PDF file includes: Materials and Methods
3. Information Theory: 1948-1998 - Guest Editorial
4. Deep Learning
5. Pattern Recognition and Machine Learning
6. Information Theory, Inference, and Learning Algorithms
7. Information Theory and Statistical Mechanics
8. Identification of direct residue contacts in protein–protein interaction by message passing
9. ImageNet classification with deep convolutional neural networks
10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers

• Inverse statistical problems: from the inverse Ising problem to data science (2017) — 299 citations