Brian Ball
Statistical and Nonlinear Physics · 2011
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 23 citations into it; #2,416 of 10,127 by trust here, #4,439 by citations
- Artificial Intelligence — 8 citations into it
- Molecular Biology — 8 citations into it
- Computer Networks and Communications — 5 citations into it
- Graph Learning — 5 citations into it
Whom Brian Ball trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Santo Fortunato
- Thomas Hofmann
- Donald Ervin Knuth
- Andrea Lancichinetti
- Chris H. Q. Ding
- Aaron Clauset
- Konstantin Avrachenkov
- Peter J. Bickel
- Tim S. Evans
Who trusts Brian Ball overall
- Prem Gopalan
- Tiago P. Peixoto
- Santo Fortunato
- David M. Blei
- Jake M. Hofman
- Michele Coscia
- Jierui Xie
- M. P. Rombach
- Darko Hric
- Jaewon Yang
Papers from Brian Ball's perspective
Ordered by how strongly the researchers Brian Ball 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
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- ImageNet: A large-scale hierarchical image database
Their papers
- An efficient and principled method for detecting communities in networks (2011) — 398 citations