Difference between revisions of "Kilian Röhner, M.Sc."

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* V. Bautista Anguiano: '''Itegration and Visualization of Sparse-Grid based Clustering Methods in the SG++ Datamining Pipeline'''<br>Master's thesis, Fakultät für Informatik, Technische Universität München, since October 2019
 
* V. Bautista Anguiano: '''Itegration and Visualization of Sparse-Grid based Clustering Methods in the SG++ Datamining Pipeline'''<br>Master's thesis, Fakultät für Informatik, Technische Universität München, since October 2019
 
* N. Stotzem: '''Normalization of Datasets for Sparse Grids Datadriven Methods in the SG++ Datamining Pipeline'''<br>Forschungspraktikum, Fakultät für Informatik, Technische Universität München, since July 2019
 
* N. Stotzem: '''Normalization of Datasets for Sparse Grids Datadriven Methods in the SG++ Datamining Pipeline'''<br>Forschungspraktikum, Fakultät für Informatik, Technische Universität München, since July 2019
* K. Glas: '''Exploiting Component Grid Symmetries for Sparse Grid Density Estimation with the Combination Technique'''<br>Bachelor's thesis, Fakultät für Informatik, Technische Universität München, since June 2019
 
* D. Boschko: '''Generalization and Parallelization of Sherman-Morrison System Matrix Updates for Sparse Grid Density Estimation'''<br>IDP, Fakultät für Mathematik, Technische Universität München, since January 2018
 
  
 
=== Finished ===
 
=== Finished ===

Latest revision as of 16:53, 21 November 2019

Kilian Roehner.jpg
Address:
TU München
Institut für Informatik
Boltzmannstr. 3
85748 Garching b. München
Office:
MI 02.05.041
Email:
Roehnermail.png
Phone:
(089) 289 18 638
Fax:
(089) 289 18 607
Office hours:
by arrangement

Research interests

  • Online Data Mining
  • Machine Learning with Big Data
  • Sparse Grids Methods

Talks

Teaching

Student Projects

Open

I don't advise any more student projects!

Running

  • V. Bautista Anguiano: Itegration and Visualization of Sparse-Grid based Clustering Methods in the SG++ Datamining Pipeline
    Master's thesis, Fakultät für Informatik, Technische Universität München, since October 2019
  • N. Stotzem: Normalization of Datasets for Sparse Grids Datadriven Methods in the SG++ Datamining Pipeline
    Forschungspraktikum, Fakultät für Informatik, Technische Universität München, since July 2019

Finished

About me