direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Publikationsliste

J

Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model

Romano, L. B., Battistin, C., Opper, M. and Roudi, Y.

Journal of Physics A: Mathematical and Theoretical. IOPscience, 434003. 2016

Link zur Publikation Download Bibtex Eintrag

Extended Plefka expansion for stochastic dynamics

Bravi, B., Sollich, P. and Opper, M.

Journal of Physics A: Mathematical and Theoretical, 194003. 2016

Link zur Publikation Download Bibtex Eintrag

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

Opper, M., Cakmak, B. and Winther, O.

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

Link zur Publikation Download Bibtex Eintrag

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems

Shen, Y., Archambeau, C., Cornford, D., Opper, M., Shawe-Taylor, J. and Barillec, R.

Journal of Signal Processing Systems 2009

Link zur Publikation Download Bibtex Eintrag

Approximate inference techniques with expectation constraints

Heskes, T., Opper, M., Wiegerinck, W., Winther, O. and Zoeter, O.

Journal of Statistical Mechanics (JSTAT) 2005

Link zur Publikation Download Bibtex Eintrag


Inferring hidden states in a random kinetic Ising model: replica analysis

Romano, L. B. and Opper, M.

Journal of Statistical Mechanics: Theory and Experiment, P06013. 2014

Download Bibtex Eintrag

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

Bachschmid-Romano, L. and Opper, M.

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

Download Bibtex Eintrag

Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding

Susemihl, A., Meir, R. and Opper, M.

Journal of Statistical Mechanics: Theory and Experiment, P03009. 2013

Link zur Publikation Download Bibtex Eintrag

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

Batz, P., Ruttor, A. and Opper, M.

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

Link zur Publikation Download Bibtex Eintrag

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

Bachschmid-Romano, L. and Opper, M.

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

Link zur Publikation Download Bibtex Eintrag

Bayesian Analysis of the Scatterometer Wind Retrieval inverse Problem: Some new Approaches

Cornford, D., Csató, L., Evans, D. J. and Opper, M.

Journal Royal Statistical Society B, 1–17. 2004

Link zur Publikation Download Bibtex Eintrag

M

Optimal control as a graphical model inference problem

Kappen, H. J., Gomez, V. and Opper, M.

Machine Learning. Springer, 159-182. 2012

Link zur Publikation Download Bibtex Eintrag

N



Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe