Sebastian Gerwinn

John Lygeros, Johanna L. Mathieu, Maryam Kamgarpour, 2013, 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid.

SaLsA Streams: Dynamic Context Models for Autonomous Transport Vehicles Based on Multi-sensor Fusion

Andre Bolles, Daniela Nicklas, Christian Kuka, 2013, 2013 IEEE 14th International Conference on Mobile Data Management.

Bayesian Population Decoding of Spiking Neurons

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 2009, Frontiers Comput. Neurosci..

Model-Based Risk Assessment of Offshore Operations

Axel Hahn, Sebastian Gerwinn, Rainer Droste, 2014 .

Bayesian Population Decoding of Spiking Neurons

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 2009 .

Reconstructing Stimuli from the Spike Times of Leaky Integrate and Fire Neurons

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 2010, Front. Neurosci..

Characterization of the p-generalized normal distribution

Matthias Bethge, Sebastian Gerwinn, Fabian H. Sinz, 2009, J. Multivar. Anal..

Bayesian Prior Networks with PAC Training pdf

Melih Kandemir, Sebastian Gerwinn, Manuel Haussmann, 2019, ArXiv.

Formal Synthesis and Validation of Inhomogeneous Thermostatically Controlled Loads

Martin Fränzle, Alessandro Abate, Sadegh Esmaeil Zadeh Soudjani, 2014, QEST.

Bayesian methods for neural data analysis

Sebastian Gerwinn, S. Gerwinn, 2010 .

Inferring decoding strategy from choice probabilities in the presence of noise correlations

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 2012 .

Bayesian Neural System identification: error bars, receptive fields and neural couplings

Matthias Bethge, Matthias Seeger, Sebastian Gerwinn, 2006 .

Bayesian estimation of orientation preference maps

Matthias Bethge, Matthias Kaschube, Jakob H. Macke, 2009, NIPS.

Statistical model checking for stochastic hybrid systems involving nondeterminism over continuous domains

Martin Fränzle, Christian Ellen, Sebastian Gerwinn, 2014, International Journal on Software Tools for Technology Transfer.

Constraint-Solving Techniques for the Analysis of Stochastic Hybrid Systems

Martin Fränzle, Yang Gao, Sebastian Gerwinn, 2017, Provably Correct Systems.

Unsupervised learning of a steerable basis for invariant image representations

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 2007, Electronic Imaging.

Bayesian Inference for Spiking Neuron Models with a Sparsity Prior

Matthias Bethge, Matthias W. Seeger, Jakob H. Macke, 2007, NIPS.

Bayesian Receptive Fields and Neural Couplings with Sparsity Prior and Error Bars

Matthias Bethge, Matthias Seeger, Sebastian Gerwinn, 2007 .

Implications of correlated neuronal noise in decision making circuits for physiology and behavior

Matthias Bethge, Jakob H. Macke, Sebastian Gerwinn, 1900 .

Neurometric function analysis of population codes

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2009, NIPS.

Gaussian process methods for estimating cortical maps

Matthias Bethge, Matthias Kaschube, Jakob H. Macke, 2011, NeuroImage.

Reassessing optimal neural population codes with neurometric functions

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2011, Proceedings of the National Academy of Sciences.

Context-model generation for safe autonomous transport vehicles

Daniela Nicklas, Christian Kuka, Sebastian Gerwinn, 2012, DEBS.

Simulation-based Completeness Analysis and Adaption of Fault Trees

Axel Hahn, Sebastian Gerwinn, Christoph Läsche, 2014 .

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes pdf

Melih Kandemir, Sebastian Gerwinn, Barbara Rakitsch, 2021, AISTATS.

Inferring the Structure of Ordinary Differential Equations pdf

Melih Kandemir, Sebastian Gerwinn, Christian Weilbach, 2021, ArXiv.

Neurometric function analysis of short-term population codes

Alexander S. Ecker, Matthias Bethge, Philipp Berens, 2009 .