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Publikationsliste

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2014

Optimal Neural Codes for Control and Estimation [21]

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

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

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

2013

Z-Lernen auf diskreten Markov-Entscheidungs-Problemen mit zustandsabhängigen Aktionen [24]

Bossert, T.

2013 TU Berlin

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

Efficient stochastic control with Kullback Leibler costs using kernel methods [27]

Sokoloski, S.

2013 TU Berlin

Link zur Publikation [28] Download Bibtex Eintrag [29]

Meta Learning in Recommendation Systems [30]

Seiler, J.

2013 TU Berlin

Link zur Publikation [31] Download Bibtex Eintrag [32]

Efficient Optimal Control for Multi-Agent Jump Processes [33]

Schlegel, A.

2013 TU Berlin

Link zur Publikation [34] Download Bibtex Eintrag [35]

Approximate Gaussian process inference for the drift of stochastic differential equations - Supplementary material [36]

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

2013

Link zur Publikation [37] Download Bibtex Eintrag [38]

Approximate Gaussian process inference for the drift of stochastic differential equations [39]

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

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

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

Classification with Deep Belief Networks [42]

Hebbo, H. and Kim, J. W.

2013

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

Balancing a Pole [45]

Ley, A. and Meyer, S.

2013

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

Structural inference in gene regulatory networks [48]

Ralinovski, K.

2013

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

DARA: Estimating the Behavior of Data Rate Adaptation Algorithms in WLAN Hotspots [51]

Wiethölder, S., Ruttor, A., Bergemann, U., Opper, M. and Wolisz, A.

2013

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

DARA: Estimating the Behavior of Data Rate Adaptation Algorithms in WLAN Hotspots [54]

Wiethölter, S., Ruttor, A., Bergemann, U., Opper, M. and Wolisz, A.

2013

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

Approximate inference in latent Gaussian-Markov models from continuous time observations [57]

Cseke, B., Opper, M. and Sanguinetti, G.

Advances in Neural Information Processing Systems, 971–979. 2013

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

Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models [60]

Opper, M., Paquet, U. and Winther, O.

Journal of Machine Learning Research, 2857-2898. 2013

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

Gaussian Processes for Plume Distribution Estimation with UAVs [63]

Gosmann, J.

2013 TU Berlin

Link zur Publikation [64] Download Bibtex Eintrag [65]

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