Clemens Otte

Publication Activity (10 Years)

Years Active: 2008-2022
Publications (10 Years): 11

Top Venues

CoRR

ESANN

Neurocomputing

ICAART (2)

University of Oldenburg, Germany (PHD)

Education History

University of Oldenburg, Germany

PHD

Publications

Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches and Their Limitations. ICAART (Revised Selected Paper (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches and their Limitations. CoRR (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. ICAART (2) (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. CoRR (2022)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. Neurocomputing 416 (2020)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
interpretable dynamics models for data-efficient reinforcement learning. ESANN (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. CoRR (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Data Association with Gaussian Processes. ECML/PKDD (2) (2019)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Multimodal Deep Gaussian Processes. CoRR (2018)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian Alignments of Warped Multi-Output Gaussian Processes. NeurIPS (2018)
Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian Alignments of Warped Multi-Output Gaussian Processes. CoRR (2017)
Clemens Otte
Interpretable semi-parametric regression models with defined error bounds. Neurocomputing 143 (2014)
Clemens Otte
Learning regression models with guaranteed error bounds. ESANN (2013)
Clemens Otte, Christof Störmann
Improving the accuracy of network intrusion detectors by input-dependent stacking. Integr. Comput. Aided Eng. 18 (3) (2011)
Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse
Ensemble Learning for Multi-source Information Fusion. ECSQARU (2009)
Sebastian Nusser, Clemens Otte, Werner Hauptmann, Oskar Leirich, Manfred Krätschmer, Rudolf Kruse
Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems). Autom. 57 (3) (2009)
Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte
Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels. ESANN (2009)
Sebastian Nusser, Clemens Otte, Werner Hauptmann
Interpretable ensembles of local models for safety-related applications. ESANN (2008)
Sebastian Nusser, Clemens Otte, Werner Hauptmann
Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications. GfKl (2008)
Sebastian Nusser, Clemens Otte, Werner Hauptmann
An EM-Based Piecewise Linear Regression Algorithm. HAIS (2008)
Christian Moewes, Clemens Otte, Rudolf Kruse
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM. SMPS (2008)

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Publication Activity (10 Years)

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Clemens Otte