170 citations
- Ludwig-Maximilians-Universität MünchenDE2 papers
- University of RegensburgDE2 papers
- Centraal Bureau voor de StatistiekNL1 paper
- Imperial College LondonGB1 paper
- InsermFR1 paper
- La Ligue Contre le CancerFR1 paper
- Leibniz Institute for Prevention Research and Epidemiology - BIPSDE1 paper
- LMU KlinikumDE1 paper
- Munich Center for Machine Learning1 paper
- Munich School of PhilosophyDE1 paper
- Open University of the NetherlandsNL1 paper
- Oslo University HospitalNO1 paper
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2025
Reduction Techniques for Survival Analysis
Johannes Piller, Léa Orsini, Simon Wiegrebe +6
In this work, we discuss what we refer to as reduction techniques for survival analysis, that is, techniques that "reduce" a survival task to a more common regression or classifica…
stat.ML2023★ 170 cited
Deep Learning for Survival Analysis: A Review
Simon Wiegrebe, Philipp Kopper, Raphael Sonabend +2
The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for instance, learning from unstruct…