Lukas Nonnenmacher

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Lukas Nonnenmacher trusts overall

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

1. Chih-Jen Lin
2. Alex Smola

Papers from Lukas Nonnenmacher's perspective

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

1. LIBSVM: A library for support vector machines
2. A tutorial on support vector regression
3. Integrating Variable Renewable Energy: Challenges and Solutions
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Regression Shrinkage and Selection via the Lasso
10. Long Short-Term Memory

Their papers

• Benefits of solar forecasting for energy imbalance markets (2016) — 148 citations