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==== Research Ideas ==== ==== Talk ====
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 * '''Bastian Venthur''',
 * '''Stanimir Dragiev''',
 * '''Grégoire Montavon'''
(Chair:Matthias Jugel)
'''Aapo Hyvarinen:'''

''Unsupervised learning by discriminating data from artificial noise''

Abstract:We propose to learn the structure of data based on the simple idea of learning to discriminate data from artificially generated noise. Such learning is basically unsupervised, although we formulate it as logistic regression. The method can be shown to estimate a parametric probabilistic model for the data. Furthermore, the probabilistic model does not need to be normalized (i.e. it can be energy-based) because the normalization parameter can actually be estimated just like the other parameters. We apply the method to learning two- and three-layer networks from natural images, where the noise is white and gaussian.


(Chair:Klaus-Robert Müller)

Doktoranden-/Diplomandenseminar WS 09/10

In this seminar, master/phd students of the IDA group present their current work and research ideas.

When?

usually on Wednesdays, 2:15 pm (s.t.) to 3:15, or as announced (see below)

Where?

at TU Berlin , FR 6046, or as announced (see below)

How?

More information for speakers and participants here.


Next Talk


Planned Talks

This is a preliminary schedule, and might be changed on short notice.

Wednesday, 04.11.09 14.15 FR6046

Talk

Aapo Hyvarinen:

Unsupervised learning by discriminating data from artificial noise

Abstract:We propose to learn the structure of data based on the simple idea of learning to discriminate data from artificially generated noise. Such learning is basically unsupervised, although we formulate it as logistic regression. The method can be shown to estimate a parametric probabilistic model for the data. Furthermore, the probabilistic model does not need to be normalized (i.e. it can be energy-based) because the normalization parameter can actually be estimated just like the other parameters. We apply the method to learning two- and three-layer networks from natural images, where the noise is white and gaussian.

(Chair:Klaus-Robert Müller)

Wednesday, 11.11.09 14.15 FR6046

Research Ideas

  • Daniel Bartz,

  • Felix Bießmann,

  • Tobias Lang

(Chair:Nils Plath)

Wednesday, 18.11.09 14.15 FR6046

Research Ideas

  • Paul von Bünau,

  • Katja Hansen,

  • Tammo Krüger

(Chair:Pascal Lehwark)

Wednesday, 25.11.09 14.15 FR6046

Research Ideas

  • Alexander Binder,

  • Frank Meinecke,

  • Claudia Sannelli

(Chair:Felix Bießmann)

Wednesday, 02.12.09 14.15 FR6046

Research Ideas

  • Marton Danoczy,

  • Patrick Düssel,

  • Pascal Lehwark

(Chair: Christian Gehl)

07.-12.12.09 NIPS

Wednesday, 16.12.09 14.15 FR6046

NIPS Conference Report

Wednesday, 21.12.09 - 02.01.2010 no lectures

Wednesday, 6.1.10 14.15 FR6046

Research Ideas

  • Matthias Jugel,

  • Christian Gehl,

  • Nils Plath

(Chair:Claudia Sanelli)

Wednesday, 13.1.10 14.15 FR6046

Research Ideas

  • Siamac Fazli,

  • Cecilia Maeder,

  • Irene Sturm

(Chair:Alexander Binder)

Wednesday, 20.1.10 14.15 FR6046

Research Ideas

  • Bastian Venthur,

  • Stanimir Dragiev,

  • Grégoire Montavon

(Chair:Matthias Jugel)

Wednesday, 27.1.10 14.15 FR6046

Research Ideas

  • Anne Porbadnigk,

  • Marko Ristin,

  • n.n.

(Chair:Marton Danoczy)

Wednesday, 03.2.10 14.15 FR6046

Research Ideas

  • Marton Danoczy,

  • Patrick Düssel,

  • Pascal Lehwark

(Chair: Christian Gehl)


Previous Talks

Wednesday, 28.10.09 14.15 FR6046

Talk

Timon Schroeter

(Chair: Katja Hansen)

Wednesday, 21.10.09 14.15 FR6046

Research Ideas

  • Nikolay Jetchev: Trajectory Prediction and Parallel Exploration of Movement Trajectories for Online Planning,

  • Martijn Schreuder: Performance feedback during (auditory) P300 operation,

  • nn

(Chair:Daniel Bartz)

Wednesday, 14.10.09 14.15 FR6046

Tutorial

Matthias Treder

Experimental Design in Human Research

Abstract:This tutorial is devoted the first steps in human experimental research, that is, defining a research question and then translating this research question into an experimental design, and finally setting up the experiment. According concepts and terminology from psychological methodology are introduced, such as types of research, experimental designs, the definition of measurements, and the assessment of their quality. Possible remedies are worked out in a hopefully interactive fashion.


Archive

-- Nicole Kraemer / Katja Hansen -- Aug 2009

IDA Wiki: Main/DoktorandenSeminar (last edited 2015-10-28 09:09:05 by FelixBrockherde)