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researcher

Philipp Kopper

8 papers hereh-index 6361 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • stat.ML3
  • math.ST1
  • stat.CO1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedDeep Learning for Survival Analysis: A Review

170 citations · 193 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.LG2024

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression

Lucas Kook, Chris Kolb, Philipp Schiele +8

Neural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithm…

cs.LG2024

On Training Survival Models with Scoring Rules

Philipp Kopper, David Rügamer, Raphael Sonabend +2

Scoring rules are an established way of comparing predictive performances across model classes. In the context of survival analysis, they require adaptation in order to accommodate…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.