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Volkswagen Group (Germany)

Germany

50 papers here1.5k citations across 50
fields
  • quant-ph13
  • stat.ML7
  • cs.LG6
  • cs.CV5
  • cs.RO5
  • astro-ph.SR3
  • cs.SE3
  • math.NA2
ROR 01f3bhg26OpenAlex

affiliations via OpenAlex

output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

researchers with a paper here
  • Patrick van der Smagt17 · h 44
  • Justin Bayer2 profiles7 · h 18
  • C. Othmer2 profiles5 · h 17
  • Baris Kayalibay4 · h 5
  • Michael Streif4 · h 16
  • M. Leib4 · h 18
  • Peter Schlicht4 · h 16
  • Atanas Mirchev3 · h 7
  • Bernhard Rumpe3 · h 56
  • J. Arrazola3 · h 29
  • M. Mrosek3 · h 7
  • Modjtaba Shokrian Zini3 · h 10
collaborating institutions
  • Volkswagen Group (United States)US10 papers
  • Technical University of MunichDE7 papers
  • Eötvös Loránd UniversityHU5 papers
  • Friedrich-Alexander-Universität Erlangen-NürnbergDE5 papers
  • RWTH Aachen UniversityDE5 papers
  • Michigan State UniversityUS4 papers
  • Technische Universität BraunschweigDE4 papers
  • Ludwig-Maximilians-Universität MünchenDE3 papers
  • Technische Universität DarmstadtDE3 papers
  • Xanadu Quantum Technologies (Canada)CA3 papers
  • BMW (Germany)DE2 papers
  • École Polytechnique Fédérale de LausanneCH2 papers
Showing 2016 · stat.MLShow all

1 paper · 2 filters

stat.ML2016★ 74 cited

Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

Maximilian Karl, Maximilian Soelch, Justin Bayer +1

We introduce Deep Variational Bayes Filters (DVBF), a new method for unsupervised learning and identification of latent Markovian state space models. Leveraging recent advances in…

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