John B. Cassel

2014

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

Whom John B. Cassel trusts overall

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

1. Noah D. Goodman

Papers from John B. Cassel's perspective

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

1. Church: a language for generative models
2. Learning Systems of Concepts with an Infinite Relational Model
3. Infinite latent feature models and the Indian buffet process
4. Probabilistic programming
5. Hierarchical Beta Processes and the Indian Buffet Process
6. Simulation Modeling and Analysis
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet classification with deep convolutional neural networks
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Probabilistic Programming with Stochastic Memoization (2014)