Marlene Kretschmer

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Probabilistic & Bayesian Methods — 16 citations into it
• Cognitive Neuroscience — 13 citations into it
• Molecular Biology — 11 citations into it
• Signal Processing — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Control and Systems Engineering — 5 citations into it

Whom Marlene Kretschmer trusts overall

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

1. Michael I. Jordan
2. Jakob Runge
3. Carl E. Rasmussen
4. Peter Spirtes

Papers from Marlene Kretschmer's perspective

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

1. Deep Learning
2. Causality : Models , Reasoning , and Inference
3. Learning with Kernels: support vector machines, regularization, optimization, and beyond
4. ImageNet classification with deep convolutional neural networks
5. Kernel-based Conditional Independence Test and Application in Causal Discovery
6. Equivalence of distance-based and RKHS-based statistics in hypothesis testing
7. The Direction of Time
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Learning Equivalence Classes of Bayesian Network Structures
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Inferring causation from time series in Earth system sciences (2019) — 991 citations
• Detecting and quantifying causal associations in large nonlinear time series datasets (2017) — 1,071 citations