Kilian Röhner, M.Sc.: Difference between revisions

From Sccswiki
Jump to navigation Jump to search
Line 58: Line 58:


=== Running ===
=== Running ===
* 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
* 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
Line 63: Line 64:
=== Finished ===
=== Finished ===
<pubsccs>betreuerid=100&nocaption=1&lang=en</pubsccs>
<pubsccs>betreuerid=100&nocaption=1&lang=en</pubsccs>
== About me ==
== About me ==
* Ultimate Frisbee
* Ultimate Frisbee

Revision as of 13:11, 16 January 2018

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

<pubsccs>persid=100&nocaption=1&lang=en&utypid=1120&noauthor=1</pubsccs>

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.

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
  • D. Lehmberg: Estimating Potential Power Supply of an Offshore Wind Farm using Machine Learning
    Master's thesis, Fakultät für Informatik, Technische Universität München, since August 2017

Finished

<pubsccs>betreuerid=100&nocaption=1&lang=en</pubsccs>

About me