Tony Hyun Kim

Computational Mathematics · 2017–2019

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

Subfields

• Computational Mathematics — 7 citations into it

Whom Tony Hyun Kim trusts overall

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

1. Tamara G. Kolda
2. Paul J. Werbos
3. John P. Cunningham
4. Matteo Carandini
5. Peiran Gao
6. Robert M. Kelly
7. Paul Chadderton
8. Krishna V. Shenoy
9. Anthony J. Bell
10. Daniel D. Lee

Who trusts Tony Hyun Kim overall

1. N. A. Cayco-Gajic

Papers from Tony Hyun Kim's perspective

Ordered by how strongly the researchers Tony Hyun Kim 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. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
4. Learning the parts of objects by non-negative matrix factorization
5. Scikit-learn: Machine Learning in Python
6. Neural population dynamics during reaching
7. Backpropagation Through Time: What It Does and How to Do It
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

• Shared cortex-cerebellum dynamics in the execution and learning of a motor task (2019) — 183 citations
• Diametric neural ensemble dynamics in parkinsonian and dyskinetic states (2018) — 299 citations
• Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) — 301 citations
• Cerebellar granule cells encode the expectation of reward (2017) — 460 citations