Brigitte Piniewski

Statistical and Nonlinear Physics · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 13 citations into it
• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Brigitte Piniewski trusts overall

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

1. Paul Smolensky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Hoifung Poon

Papers from Brigitte Piniewski's perspective

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

1. Gradient-based learning applied to document recognition
2. Training Products of Experts by Minimizing Contrastive Divergence
3. Information processing in dynamical systems: foundations of harmony theory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Modeling Human Motion Using Binary Latent Variables
10. Estimating the Dimension of a Model

Their papers

• Social restricted Boltzmann Machine: Human behavior prediction in health social networks (2015) — 34 citations
• Analysis of Physical Activity Propagation in a Health Social Network (2014) — 15 citations