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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 12, 2006
Genetic attack on neural cryptographyAndreas Ruttor, Wolfgang Kinzel, Rivka Naeh, et al.Entropy (Basel, Switzerland)|March 25, 2022
Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-EffectsNoa Malem-Shinitski, César Ojeda, Manfred OpperPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Variational mean-field algorithm for efficient inference in large systems of stochastic differential equationsMichail D Vrettas, Manfred Opper, Dan CornfordEntropy (Basel, Switzerland)|August 27, 2021
Flexible and Efficient Inference with Particles for the Variational Gaussian ApproximationThéo Galy-Fajou, Valerio Perrone, Manfred OpperPhysical Review Letters|June 15, 2011
Common input explains higher-order correlations and entropy in a simple model of neural population activityJakob H Macke, Manfred Opper, Matthias BethgeBMC Systems Biology|March 12, 2010
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogasterMichael A Dewar, Visakan Kadirkamanathan, Manfred Opper, et al.Frontiers in Plant Science|August 4, 2023
From identification to forecasting: the potential of image recognition and artificial intelligence for aphid pest monitoringPhilipp Batz, Torsten Will, Sebastian Thiel, et al.Plos Computational Biology|December 14, 2020
A mathematical model of local and global attention in natural scene viewingNoa Malem-Shinitski, Manfred Opper, Sebastian Reich, et al.Pageof 3