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researcher

Tjark Siefkes

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.OC1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

most citedExploration-oriented sampling strategies for global surrogate modeling: A comparison between one-stage and adaptive methods

15 citations · 15 across the 2 of their papers we have counts for

collaborators

2 papers

quant-ph2025

A Hybrid Quantum Solver for Gaussian Process Regression

Kerem Bükrü, Steffen Leger, M. Lautaro Hickmann +3

Gaussian processes are widely known for their ability to provide probabilistic predictions in supervised machine learning models. Their non-parametric nature and flexibility make t…

math.OC2022★ 15 cited

Exploration-oriented sampling strategies for global surrogate modeling: A comparison between one-stage and adaptive methods

Pietro Lualdi, Ralf Sturm, Tjark Siefkes

Studying complex phenomena in detail by performing real experiments is often an unfeasible task. Virtual experiments using simulations are usually used to support the development p…

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