Forea Wang

Computational Mathematics · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mathematics — 7 citations into it

Whom Forea Wang trusts overall

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

1. Tamara G. Kolda
2. Paul J. Werbos
3. John P. Cunningham

Papers from Forea Wang's perspective

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

1. Reinforcement Learning: An Introduction
2. Speech recognition with deep recurrent neural networks
3. Learning the parts of objects by non-negative matrix factorization
4. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
5. Scikit-learn: Machine Learning in Python
6. Backpropagation Through Time: What It Does and How to Do It
7. Neural population dynamics during reaching
8. Linear dynamical neural population models through nonlinear embeddings
9. Estimating a State-Space Model from Point Process Observations (Neural Computation)
10. Tensor Decompositions and Applications

Their papers

• Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) — 301 citations