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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

vor >> [16]

2018

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes [20]

Christian Donner and Manfred Opper

Journal of Machine Learning Research, 1-34. 2018

Link zur Publikation [21] Download Bibtex Eintrag [22]

Efficient Bayesian Inference for a Gaussian Process Density Model [23]

Christian Donner and Manfred Opper

Proceedings of UAI 2018. AUAI Press, 53-62. 2018

Download Bibtex Eintrag [24]

Expectation Propagation for Approximate Inference: Free Probability Framework [25]

Burak Cakmak and Manfred Opper

Proceedings of the 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 1276-1280. 2018

Download Bibtex Eintrag [26]

2017

Dynamical Functional Theory for Compressed Sensing [27]

Burak Çakmak and Manfred Opper and Ole Winther and Bernard H. Fleury

2017 IEEE International Symposium on Information Theory (ISIT). IEEE Press, 2143-2147. 2017

Download Bibtex Eintrag [28]

A statistical physics approach to learning curves for the inverse Ising problem [29]

Ludovica Bachschmid-Romano and Manfred Opper

Journal of Statistical Mechanics: Theory and Experiment, 063406. 2017

Link zur Publikation [30] Download Bibtex Eintrag [31]

2016

Expectation propagation for continuous time stochastic processes [32]

Botond Cseke and David Schnoerr and Manfred Opper and Guido Sanguinetti

Journal of Physics A: Mathematical and Theoretical. IOPscience, 494002. 2016

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

Visualizing the effects of a changing distance on data using continuous embeddings [35]

Gina Gruenhage and Manfred Opper and Simon Barthelme

Computational Statistics & Data Analysis. Elsevier, 51 - 65. 2016

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

Variational estimation of the drift for stochastic differential equations from the empirical density [38]

Philipp Batz and Andreas Ruttor and Manfred Opper

Journal of Statistical Mechanics: Theory and Experiment, 083404. 2016

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

A theory of solving TAP equations for Ising models with general invariant random matrices [41]

Manfred Opper and Burak Cakmak and Ole Winther

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

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

2015

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations [44]

Michail D. Vrettas and Dan Cornford and Manfred Opper

Physical Review E, 012148. 2015

Download Bibtex Eintrag [45]

Learning of couplings for random asymmetric kinetic Ising models revisited: random correlation matrices and learning curves [46]

Ludovica Bachschmid-Romano and Manfred Opper

Journal of Statistical Mechanics: Theory and Experiment. IOP Publishing, P09016. 2015

Download Bibtex Eintrag [47]

2013

Approximate Gaussian process inference for the drift of stochastic differential equations - Supplementary material [48]

Andreas Ruttor and Philipp Batz and Manfred Opper

2013

Link zur Publikation [49] Download Bibtex Eintrag [50]

Approximate Gaussian process inference for the drift of stochastic differential equations [51]

Andreas Ruttor and Philipp Batz and Manfred Opper

Advances in Neural Information Processing Systems, 2040-2048. 2013

Link zur Publikation [52] Download Bibtex Eintrag [53]

DARA: Estimating the Behavior of Data Rate Adaptation Algorithms in WLAN Hotspots [54]

Sven Wiethölder and Andreas Ruttor and Uwe Bergemann and Manfred Opper and Adam Wolisz

2013

Link zur Publikation [55] Download Bibtex Eintrag [56]

DARA: Estimating the Behavior of Data Rate Adaptation Algorithms in WLAN Hotspots [57]

Sven Wiethölter and Andreas Ruttor and Uwe Bergemann and Manfred Opper and Adam Wolisz

2013

Link zur Publikation [58] Download Bibtex Eintrag [59]

vor >> [71]

Postadresse

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