Differences between revisions 30 and 72 (spanning 42 versions)
Revision 30 as of 2009-05-22 07:40:43
Size: 2342
Editor: KatjaHansen
Comment:
Revision 72 as of 2009-11-30 13:41:59
Size: 4608
Editor: KatjaHansen
Comment:
Deletions are marked like this. Additions are marked like this.
Line 1: Line 1:
= Doktoranden-/Diplomandenseminar SS 09 = = Doktoranden-/Diplomandenseminar WS 09/10 =
Line 8: Line 8:
||'''How?'''||More information for speakers and participants [[Main/DoktorandenSeminar/InformationParticipants| here]].||
Line 9: Line 10:
More information for speakers and participants [[Main/DoktorandenSeminar/InformationParticipants| here]].
----
Line 14: Line 14:
=== Wednesday, 02.12.09 14.15 FR6046 ===
Line 15: Line 16:
=== Wednesday, 27.05.09 14.15 FR6046 === ==== Research Ideas ====
Line 17: Line 18:
'''Bastian Venthur'''  * '''Marton Danoczy''',
 * '''Patrick Düssel''',
 * '''Pascal Lehwark'''
(Chair: Christian Gehl)
Line 19: Line 23:
''Tutorial on Git''
Line 21: Line 24:


----
Line 27: Line 33:
=== Wednesday, 03.06.09 14.15 FR6046 ===
NIPS preparation
Line 30: Line 34:
=== Friday, 05.06.09 NIPS Deadline === === 07.-12.12.09 NIPS ===
=== Wednesday, 16.12.09 14.15 FR6046 ===
Line 32: Line 37:
=== Wednesday, 10.06.09 14.15 FR6046 === ==== NIPS Conference Report ====
Line 34: Line 39:
'''Thorsten Dickhaus''' === Wednesday, 21.12.09 - 02.01.2010 no lectures ===
Line 36: Line 41:
''Tutorial on Statistics'' === Wednesday, 6.1.10 14.15 FR6046 ===

==== Talk invited speaker ====

'''Adam Stanski''',

(Chair: Klaus-Robert Müller)
Line 39: Line 50:
=== Wednesday, 17.06.09 14.15 FR6046 ===
==== Research Ideas ====

 * '''Claudia Sannelli''',
 * '''Christian Gehl''',
 * '''Alexander Binder'''
(Chair:Siamac Fazli)


=== Wednesday, 24.06.09 14.15 FR6046 ===

'''Tobias Lang, Nikolay Jetchev , Nils Plath'''

''Impressions of ICML (Conference Report)''

(Chair:Marc Toussaint)


=== Wednesday, 01.07.09 14.15 FR6046 ===
==== Project Presentation ====

''' Pascal Lehwark '''
''LastFM''

''' Daniel Bartz '''
''Deutsche Bank Project''

(Chair:Mikio Braun)


=== 08.-10.07.09 BCI Workshop ===


=== Wednesday, 15.07.09 14.15 FR6046 ===
==== Project Presentation ====

'''Patrick Düssel, Marius Kloft, Tammo Krüger'''

''REMIND''

(Chair:Ulf Brefeld)

=== Wednesday, 22.07.09 14.15 FR6046 ===
=== Wednesday, 13.1.10 14.15 FR6046 ===
Line 85: Line 54:
 * '''Marton Danoczy''',  * '''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''',
 * '''Claudia Sannelli'''
(Chair:Marton Danoczy)


=== Wednesday, 03.2.10 14.15 FR6046 ===

==== Research Ideas ====

 * '''Matthias Jugel''',
 * '''Christian Gehl''',
 * '''Nils Plath'''
(Chair:Claudia Sanelli)


----

== Previous Talks ==

=== Wednesday, 25.11.09 14.15 FR6046 ===

==== Research Ideas ====

 * '''Alexander Binder''',
 * '''Frank Meinecke''',
 * '''Stefan Haufe'''

(Chair:Pascal Lehwark)


=== Wednesday, 18.11.09 14.15 FR6046 ===
==== Research Ideas ====

 * '''Tammo Krüger''',
 * '''Katja Hansen''',
 * '''Elmar Diederichs'''
(Chair:Felix Bießmann)

=== Wednesday, 11.11.09 14.15 FR6046 ===

==== Research Ideas ====

 * '''Daniel Bartz''',
Line 87: Line 117:
 * '''Katja Hansen'''
(Chair:Martijn Schreuder)
 * '''Tobias Lang'''
(Chair:Nils Plath)


=== Wednesday, 04.11.09 14.15 FR6046 ===

==== Talk invited speaker ====

'''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)
Line 92: Line 137:
== Previous Talks ==
Line 94: Line 138:
=== Wednesday, 20.05.09 14.15 FR6046 === === Wednesday, 28.10.09 14.15 FR6046 ===
==== Talk ====

'''Timon Schroeter'''

(Chair: Katja Hansen)



=== Wednesday, 21.10.09 14.15 FR6046 ===
Line 97: Line 150:
 * '''Matthias Jugel''',
 * '''Paul von Bünau''',
 * '''Frank Meinecke'''
(Chair:Stefan Haufe)
 * '''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)
Line 103: Line 156:
=== Wednesday, 13.5.09 14.15 FR6046 ===

'''Soeren Sonnenburg''' (Chair: Konrad Rieck)

''Gi-Preis Probevortrag''
Line 110: Line 158:
=== 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.

 [[attachment:ExperimentalDesign.pdf|slides]]

----
Line 111: Line 173:
   * [[Main/DoktorandenSeminarSS09|Summer Term 2009]]
Line 115: Line 178:
-- Nicole Kraemer / Katja Hansen -- Jan 2009 -- Nicole Kraemer / Katja Hansen -- Aug 2009

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

Wednesday, 02.12.09 14.15 FR6046

Research Ideas

  • Marton Danoczy,

  • Patrick Düssel,

  • Pascal Lehwark

(Chair: Christian Gehl)


Planned Talks

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

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

Talk invited speaker

Adam Stanski,

(Chair: Klaus-Robert Müller)

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,

  • Claudia Sannelli

(Chair:Marton Danoczy)

Wednesday, 03.2.10 14.15 FR6046

Research Ideas

  • Matthias Jugel,

  • Christian Gehl,

  • Nils Plath

(Chair:Claudia Sanelli)


Previous Talks

Wednesday, 25.11.09 14.15 FR6046

Research Ideas

  • Alexander Binder,

  • Frank Meinecke,

  • Stefan Haufe

(Chair:Pascal Lehwark)

Wednesday, 18.11.09 14.15 FR6046

Research Ideas

  • Tammo Krüger,

  • Katja Hansen,

  • Elmar Diederichs

(Chair:Felix Bießmann)

Wednesday, 11.11.09 14.15 FR6046

Research Ideas

  • Daniel Bartz,

  • Felix Bießmann,

  • Tobias Lang

(Chair:Nils Plath)

Wednesday, 04.11.09 14.15 FR6046

Talk invited speaker

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, 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)