Josue Nassar

Probabilistic & Bayesian Methods · 2018

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

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Josue Nassar trusts overall

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

1. Radford M. Neal
2. Ryan P. Adams
3. Matthew J. Johnson
4. Arnaud Doucet
5. Scott W. Linderman
6. Nicholas G. Polson
7. Rahul G. Krishnan
8. Yuanjun Gao
9. Junyoung Chung
10. Zoubin Ghahramani

Who trusts Josue Nassar overall

1. Idan Achituve

Papers from Josue Nassar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling (2018) — 85 citations