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Physical Review. E|September 27, 2018
Approximate Bayes learning of stochastic differential equationsPhilipp Batz, Andreas Ruttor, Manfred OpperPhysical Review Letters|April 7, 2010
Efficient statistical inference for stochastic reaction processesAndreas Ruttor, Manfred OpperBioinformatics (Oxford, England)|March 13, 2009
Switching regulatory models of cellular stress responseGuido Sanguinetti, Andreas Ruttor, Manfred Opper, et al.Biology Methods & Protocols|March 7, 2022
Semi-automatic detection of honeybee brood hygiene-an example of artificial learning to facilitate ethological studies on social insectsPhilipp Batz, Andreas Ruttor, Sebastian Thiel, et al.Neural Computation|January 13, 2011
Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple modelsFabiano Ribeiro, Manfred OpperPhysical Review. E|July 24, 2019
Memory-free dynamics for the Thouless-Anderson-Palmer equations of Ising models with arbitrary rotation-invariant ensembles of random coupling matricesBurak Çakmak, Manfred OpperPhysical Review. E|February 17, 2018
Publisher's Note: Inverse Ising problem in continuous time: A latent variable approach [Phys. Rev. E 96, 062104 (2017)]Christian Donner, Manfred OpperPhysical Review Letters|September 13, 2002
Statistical mechanics of learning: a variational approach for real dataDörthe Malzahn, Manfred OpperPhysical Review. E|January 20, 2018
Inverse Ising problem in continuous time: A latent variable approachChristian Donner, Manfred OpperPageof 3