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Publikationsliste

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2016

Extended Plefka expansion for stochastic dynamics [21]

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

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

Link zur Publikation [22] Download Bibtex Eintrag [23]

A theory of solving TAP equations for Ising models with general invariant random matrices [24]

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

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

Link zur Publikation [25] Download Bibtex Eintrag [26]

2015

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations [27]

Vrettas, M. D., Cornford, D. and Opper, M.

Physical Review E, 012148. 2015

Download Bibtex Eintrag [28]

Learning of couplings for random asymmetric kinetic Ising models revisited: random correlation matrices and learning curves [29]

Bachschmid-Romano, L. and Opper, M.

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

Download Bibtex Eintrag [30]

A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding [31]

Harel, Y., Meir, R. and Opper, M.

Advances in Neural Information Processing Systems 28, 1594–1602. 2015

Link zur Publikation [32] Download Bibtex Eintrag [33]

2014

Parameter Estimation in Potts Models as an Instance of Probabilistic Programming via Imperatively Defined Factor Graphs [34]

Hanefeld, A.

2014 TU Berlin

Link zur Publikation [35] Download Bibtex Eintrag [36]

Inferring hidden states in a random kinetic Ising model: replica analysis [37]

Romano, L. B. and Opper, M.

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

Download Bibtex Eintrag [38]

Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data [39]

Stimberg, F., Ruttor, A. and Opper, M.

Advances in Neural Information Processing Systems 27, 730-738. 2014

Link zur Publikation [40] Download Bibtex Eintrag [41]

Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data - Supplementary material [42]

Stimberg, F., Ruttor, A. and Opper, M.

2014

Link zur Publikation [43] Download Bibtex Eintrag [44]

Classification of task related fRMI: a complex network analysis [45]

Bey, P.

2014

Link zur Publikation [46] Download Bibtex Eintrag [47]

Classification Using Restricted Boltzmann Machines [48]

Viscovic, I.

2014

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

Gaussian Process Clustering [51]

Yang, F. and Cao, J.

2014

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

Learning and Controling Dynamic Systems using Gaussian Process [54]

Zhou, X. and Liu, X.

2014

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

Plastic State Machines: From Neuroscience to Machine Learning [57]

Rost, T.

2014

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

Bayesian Inference for a Cox-Ingersoll-Ross Model with changing Parameters and Application to Finance Data [60]

Herrmann, J.

2014 Technische Universität Berlin

Link zur Publikation [61] Download Bibtex Eintrag [62]

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