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researcher

Philipp F. M. Baumann

7 papers hereh-index 689 citations9 works total

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • stat.CO1
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedEstimating Conditional Distributions with Neural Networks using R package deeptrafo

3 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

stat.CO2022★ 3 cited

Estimating Conditional Distributions with Neural Networks using R package deeptrafo

Lucas Kook, Philipp FM Baumann, Oliver Dürr +2

Contemporary empirical applications frequently require flexible regression models for complex response types and large tabular or non-tabular, including image or text, data. Classi…

stat.ML2022

Deep interpretable ensembles

Lucas Kook, Andrea Götschi, Philipp FM Baumann +2

Ensembles improve prediction performance and allow uncertainty quantification by aggregating predictions from multiple models. In deep ensembling, the individual models are usually…

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