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TU Berlin

Inhalt des Dokuments

Prof. Dr. Manfred Opper

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

 

 


Sprechstunde nach Vereinbarung

Publikationen

2018

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

Christian Donner and Manfred Opper

Journal of Machine Learning Research, 1-34. 2018

Link zur Publikation Download Bibtex Eintrag

Efficient Bayesian Inference for a Gaussian Process Density Model

Christian Donner and Manfred Opper

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

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Expectation Propagation for Approximate Inference: Free Probability Framework

Burak Cakmak and Manfred Opper

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

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2017

Dynamical Functional Theory for Compressed Sensing

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

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

Ludovica Bachschmid-Romano and Manfred Opper

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

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2016

Expectation propagation for continuous time stochastic processes

Botond Cseke and David Schnoerr and Manfred Opper and Guido Sanguinetti

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

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

Gina Gruenhage and Manfred Opper and Simon Barthelme

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

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

Philipp Batz and Andreas Ruttor and Manfred Opper

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

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

Manfred Opper and Burak Cakmak and Ole Winther

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

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2015

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

Michail D. Vrettas and Dan Cornford and Manfred Opper

Physical Review E, 012148. 2015

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

Ludovica Bachschmid-Romano and Manfred Opper

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

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2013


Approximate Gaussian process inference for the drift of stochastic differential equations

Andreas Ruttor and Philipp Batz and Manfred Opper

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

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

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

2013

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

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

2013

Link zur Publikation Download Bibtex Eintrag

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Postadresse

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