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All publications by Andreas Ruttor
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Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
Florian Stimberg, Andreas Ruttor and Manfred Opper
Advances in Neural Information Processing Systems 27, 2014


Approximate Gaussian process inference for the drift function in stochastic differential equations
Andreas Ruttor, Philipp Batz and Manfred Opper
Advances in Neural Information Processing Systems 26, 2013


Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor and Manfred Opper
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti and Andreas Ruttor
Advances in Neural Information Processing Systems 24, 2011


Approximate inference in continuous time Gaussian-Jump processes
Manfred Opper, Andreas Ruttor and Guido Sanguinetti
Advances in Neural Information Processing Systems 23, 2010


Approximate parameter inference in a stochastic reaction-diffusion model
Andreas Ruttor and Manfred Opper
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Synchronization of neural networks by mutual learning and its application to cryptography
Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor and Wolfgang Kinzel
Advances in Neural Information Processing Systems 17, 2004