David Kil

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 David Kil trusts overall

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

1. Paul Smolensky

Papers from David Kil's perspective

Ordered by how strongly the researchers David Kil 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. Modeling Human Motion Using Binary Latent Variables
5. Estimating the Dimension of a Model
6. Sum-product networks: A new deep architecture
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Mining the network value of customers
9. A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
10. Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.

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