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TU Berlin

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Prof. Dr. Manfred Opper

Lupe
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Head of Research Group AI
Office: FR 5059
Phone: +49 30 314-73749
E-Mail: manfred.opper <AT> tu-berlin.de
Consulting hour according to agreement

Publications

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Order by: Author  Year  Journal

2018

Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes

Christian Donner and Manfred Opper

Journal of Machine Learning Research, 1-34. 2018

Link to publication Download Bibtex entry

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

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Postal Address

TU Berlin
Fakultät IV
Elektrotechnik und Informatik
sec. MAR 4-2
Marchstrasse 23
D-10587 Berlin