Andreas Mueller

Front. Neuroinform. · 2013–2021

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

Papers from Andreas Mueller's perspective

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

1. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
3. LIBLINEAR: A Library for Large Linear Classification
4. Independent Component Analysis
5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
6. Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
7. The WEKA data mining software: an update
8. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
9. Machine learning classifiers and fMRI: a tutorial overview
10. Wasserstein Generative Adversarial Networks

Their papers

• POT: Python Optimal Transport (2021) — 1,118 citations
• Scikit-learn: Machine Learning Without Learning the Machinery (2015) — 507 citations
• Machine learning for neuroimaging with scikit-learn (2014) — 2,159 citations
• Independent consultant (2013)