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Sebastian Engelke

36 papers hereh-index 251.9k citations61 works total

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

author position
  • first author14
  • middle author14
  • last author8

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • stat.ME15
  • math.PR9
  • math.ST8
  • stat.AP2
  • cs.LG1
  • stat.ML1
same name
  • Sebastian Engelke — 10 papers, h 4
  • Sebastian Engelke — 7 papers, h 3
  • Sebastian Engelke — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedExtremes on river networks

123 citations · 267 across the 30 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.LG2018★ 42 cited

Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction

Talia B. Kimber, Sebastian Engelke, Igor V. Tetko +2

In our study, we demonstrate the synergy effect between convolutional neural networks and the multiplicity of SMILES. The model we propose, the so-called Convolutional Neural Finge…

math.ST2018

Graphical Models for Extremes

Sebastian Engelke, Adrien S. Hitz

Conditional independence, graphical models and sparsity are key notions for parsimonious statistical models and for understanding the structural relationships in the data. The theo…

stat.ML2018★ 12 cited

Extreme Value Theory for Open Set Classification -- GPD and GEV Classifiers

Edoardo Vignotto, Sebastian Engelke

Classification tasks usually assume that all possible classes are present during the training phase. This is restrictive if the algorithm is used over a long time and possibly enco…

math.PR2018

Extremal dependence of random scale constructions

Sebastian Engelke, Thomas Opitz, Jennifer Wadsworth

A bivariate random vector can exhibit either asymptotic independence or dependence between the largest values of its components. When used as a statistical model for risk assessmen…

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