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List of Publications

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2013

Gaussian Processes for Plume Distribution Estimation with UAVs [21]

Gosmann, J.

2013 TU Berlin

Link to publication [22] Download Bibtex entry [23]

2014

Optimal Neural Codes for Control and Estimation [24]

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

Advances in Neural Information Processing Systems 27. Curran Associates, Inc., 2987–2995. 2014

Link to publication [25] Download Bibtex entry [26]

Inferring hidden states in a random kinetic Ising model: replica analysis [27]

Romano, L. B. and Opper, M.

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

Download Bibtex entry [28]

Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data [29]

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

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

Link to publication [30] Download Bibtex entry [31]

Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data - Supplementary material [32]

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

2014

Link to publication [33] Download Bibtex entry [34]

Classification of task related fRMI: a complex network analysis [35]

Bey, P.

2014

Link to publication [36] Download Bibtex entry [37]

Classification Using Restricted Boltzmann Machines [38]

Viscovic, I.

2014

Link to publication [39] Download Bibtex entry [40]

Gaussian Process Clustering [41]

Yang, F. and Cao, J.

2014

Link to publication [42] Download Bibtex entry [43]

Learning and Controling Dynamic Systems using Gaussian Process [44]

Zhou, X. and Liu, X.

2014

Link to publication [45] Download Bibtex entry [46]

Plastic State Machines: From Neuroscience to Machine Learning [47]

Rost, T.

2014

Link to publication [48] Download Bibtex entry [49]

Bayesian Inference for a Cox-Ingersoll-Ross Model with changing Parameters and Application to Finance Data [50]

Herrmann, J.

2014 Technische Universität Berlin

Link to publication [51] Download Bibtex entry [52]

Parameter Estimation in Potts Models as an Instance of Probabilistic Programming via Imperatively Defined Factor Graphs [53]

Hanefeld, A.

2014 TU Berlin

Link to publication [54] Download Bibtex entry [55]

2015

Variational mean-field algorithm for efficient inference in large systems of stochastic differential equations [56]

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

Physical Review E, 012148. 2015

Download Bibtex entry [57]

Learning of couplings for random asymmetric kinetic Ising models revisited: random correlation matrices and learning curves [58]

Bachschmid-Romano, L. and Opper, M.

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

Download Bibtex entry [59]

A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding [60]

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

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

Link to publication [61] Download Bibtex entry [62]

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