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Jan Peters

Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany

81 papers hereh-index 8635.5k citations611 works total

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

author position
  • middle author21
  • last author59

Across the 80 of 81 papers where every author was matched, so the position is known.

fields
  • cs.RO36
  • cs.LG32
  • cs.AI4
  • cs.NE2
  • eess.SY2
  • stat.ML2
affiliations
  • Intelligent Autonomous Systems Group, Technische Universität Darmstadt, Darmstadt, Germany
  • Max Planck Institute for Biological Cybernetics
  • Max Planck Institute for Intelligent Systems
  • Technische Universität Darmstadt
  • University of Southern California
Homepage
same name
  • Jan Peters — 23 papers
  • Jan Peters — 9 papers, h 14
  • Jan Peters — 8 papers, h 6
  • Jan Peters — 8 papers, h 3
  • Jan Peters — 7 papers, h 5
  • Jan Peters — 6 papers, h 4

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
20112022
most citedDeep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

82 citations · 340 across the 44 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2020

An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions

Samuele Tosatto, Riad Akrour, Jan Peters

The Nadaraya-Watson kernel estimator is among the most popular nonparameteric regression technique thanks to its simplicity. Its asymptotic bias has been studied by Rosenblatt in 1…

stat.ML2018

Probabilistic Trajectory Segmentation by Means of Hierarchical Dirichlet Process Switching Linear Dynamical Systems

Maximilian Sieb, Matthias Schultheis, Sebastian Szelag +2

Using movement primitive libraries is an effective means to enable robots to solve more complex tasks. In order to build these movement libraries, current algorithms require a prio…

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