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

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* 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
 
* 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
 
* E. Koepke: '''Optimizing Hyperparameters in the SG++ Datamining Pipeline'''<br>Bachelor's thesis, Fakultät für Informatik, Technische Universität München, since December 2017
 
* E. Koepke: '''Optimizing Hyperparameters in the SG++ Datamining Pipeline'''<br>Bachelor's thesis, Fakultät für Informatik, Technische Universität München, since December 2017
* D. Lehmberg: '''Estimating Potential Power Supply of an Offshore Wind Farm using Machine Learning'''<br>Master's thesis, Fakultät für Informatik, Technische Universität München, since August 2017
 
  
 
=== Finished ===
 
=== Finished ===

Revision as of 05:53, 1 March 2018

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

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Apache/2.4.29 (Ubuntu) Server at www5.in.tum.de Port 443

Teaching

Student Projects

Open

If you are interested in doing a student project, please contact me via e-mail and provide some ideas, what the project should be about.

Some topic ideas:

  • Scientific visualization and output of Sparse Grid data mining algorithms
  • Mixed basis function types in sparse grids (master students only)
  • Integration of classification methods into the SG++ data mining pipline
  • Domain Parallelization of Sparse Grid density estimation and classification
  • Grid coarsening in sparse grid classification
  • Parallelization of model refinement techniques for sparse grid classification

Running

  • D. Boschko: Generalization and Parallelization of Sherman-Morrison System Matrix Updates for Sparse Grid Density Estimation
    IDP, Fakultät für Mathematik, Technische Universität München, since January 2018
  • E. Koepke: Optimizing Hyperparameters in the SG++ Datamining Pipeline
    Bachelor's thesis, Fakultät für Informatik, Technische Universität München, since December 2017

Finished

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Apache/2.4.29 (Ubuntu) Server at www5.in.tum.de Port 443


About me