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Inhalt des Dokuments

Prof. Dr. Manfred Opper

Lupe [1]
  • Leiter der Einheit KI
  • Raum: MAR 4.017
  • Telefon: +4930 314-73749
  • E-Mail: manfred.opper <AT> tu-berlin.de

 

 


Sprechstunde nach Vereinbarung

  • Forschungsgebiete [2]
  • Publikationen [3]
  • Lebenslauf [4]

Publikationen

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O

Statistische Mechanik des Lernens in neuronalen Netzwerken (Statistical mechanics of learning in neural networks [21]

Manfred Opper

1991

Download Bibtex Eintrag [22]

Nichtlineare Anregungen als Quasiteilchen in der Toda–Kette (Nonlinear excitations as quasiparticles in the Toda chain) [23]

Manfred Opper

1983

Download Bibtex Eintrag [24]

Eine neue Methode zur Lösung eindimensionaler Modelle mit Unordnung (A new method for solving one dimensional models with disorder) [25]

Manfred Opper

1987 Giessen University, Germany

Download Bibtex Eintrag [26]

Approximate inference in continuous time Gaussian-Jump processes [27]

Manfred Opper and Andreas Ruttor and Guido Sanguinetti

Advances in Neural Information Processing Systems 23, 1831–1839. 2010

Link zur Publikation [28] Download Bibtex Eintrag [29]

Learning combinatorial transcriptional dynamics from gene expression data [30]

Manfred Opper and Guido Sanguinetti

Bioinformatics. Oxford Journals, 1623-1629. 2010

Download Bibtex Eintrag [31]

A theory of solving TAP equations for Ising models with general invariant random matrices [32]

Manfred Opper and Burak Cakmak and Ole Winther

Journal of Physics A: Mathematical and Theoretical, 114002. 2016

Link zur Publikation [33] Download Bibtex Eintrag [34]

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models [35]

Manfred Opper and Ulrich Paquet and Ole Winther

Journal of Machine Learning Research, 2857-2898. 2013

Link zur Publikation [36] Download Bibtex Eintrag [37]

Expectation Consistent Approximate Inference [38]

Manfred Opper and Ole Winther

Journal of Machine Learning Research, 2177 - 2204. 2005

Link zur Publikation [39] Download Bibtex Eintrag [40]

Tractable approximations for probabilistic models: The adaptive TAP mean field approach [41]

Manfred Opper and Ole Winther

Phys. Rev. Lett., 3695-3699. 2001

Link zur Publikation [42] Download Bibtex Eintrag [43]

Adaptive and Selfaveraging TAP Mean Field Theory [44]

Manfred Opper and Ole Winther

Physical Review E, 056131. 2001

Link zur Publikation [45] Download Bibtex Eintrag [46]

Universal learning curves of support vector machines [47]

Manfred Opper and Robert Urbanczik

Phys. Rev. Lett., 4410-4413. 2001

Link zur Publikation [48] Download Bibtex Eintrag [49]

Probabilistic data modelling with adaptive TAP mean field theory [50]

Manfred Opper and Ole Winther

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 119-125. 2001

Link zur Publikation [51] Download Bibtex Eintrag [52]

Support Vector machines learning noisy polynomial rules [53]

Manfred Opper and Robert Urbanczik

Second Minerva Workshop on Frontiers in the Physics of Complex Systems, 110-118. 2001

Link zur Publikation [54] Download Bibtex Eintrag [55]

Gaussian Processes for Classification: Mean Field Algorithms [56]

Manfred Opper and Ole Winther

Neural Computation, 2655-2684. 2000

Link zur Publikation [57] Download Bibtex Eintrag [58]

Online versus Offline Learning [59]

Manfred Opper

Phil. Mag. B, 1531-1537. 1998

Link zur Publikation [60] Download Bibtex Eintrag [61]

<< zurück [62]
vor >> [74]

Postadresse

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
Sekr. MAR 4-2
Marchsstrasse 23
D-10587 Berlin
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