S. Gerwinn

发表

In All Likelihood, Deep Belief Is Not Enough

Matthias Bethge, Lucas Theis, Sebastian Gerwinn, 2010, J. Mach. Learn. Res..

Reassessing optimal neural population codes with neurometric functions

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

Gaussian process methods for estimating cortical maps

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

Inferring decoding strategies from choice probabilities in the presence of correlated variability

M. Bethge, J. Macke, S. Gerwinn, 2013, Nature Neuroscience.

Neurometric function analysis of short-term population codes

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

A Compositional Safety Speciﬁcation Using a Contract-Based Design Methodology

S. Gerwinn, Markus Oertel, Peter Battram, 2015 .

Likelihood Estimation in Deep Belief Networks

Matthias Bethge, Lucas Theis, Sebastian Gerwinn, 2010 .

Optimal Population Coding, Revisited

Alexander S. Ecker, M. Bethge, Philipp Berens, 2011 .

Validation of Composite Systems by Discrepancy Propagation

S. Gerwinn, Martin Schiegg, D. Reeb, 2022, ArXiv.

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

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

Characterization of the p-generalized normal distribution

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

A joint maximum-entropy model for binary neural population patterns and continuous signals

Matthias Bethge, Philipp Berens, Sebastian Gerwinn, 2009, NIPS.

Natter: A Python Natural Image Statistics Toolbox

Matthias Bethge, Sebastian Gerwinn, Fabian H. Sinz, 2014 .

Constraint-Solving Techniques for the Analysis of Stochastic Hybrid Systems

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

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

M. Fränzle, S. Gerwinn, Christian Ellen, 2015, International Journal on Software Tools for Technology Transfer.

Confidence Bounds for Statistical Model Checking of Probabilistic Hybrid Systems

Martin Fränzle, Christian Ellen, Sebastian Gerwinn, 2012, FORMATS.

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 methods for neural data analysis

Sebastian Gerwinn, S. Gerwinn, 2010 .

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

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

Bayesian Inference for Spiking Neuron Models with a Sparsity Prior

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

Bayesian Evidential Deep Learning with PAC Regularization.

M. Kandemir, S. Gerwinn, Manuel Haussmann, 2020 .

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes pdf

Melih Kandemir, Sebastian Gerwinn, Barbara Rakitsch, 2020, AISTATS.

Bayesian Prior Networks with PAC Training

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

Bayesian Inference for Generalized Linear Models for Spiking Neurons

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

Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds

Andreas Doerr, Sebastian Gerwinn, David Reeb, 2018, NeurIPS.

Gaussian process methods for estimating cortical maps

M. Bethge, J. Macke, L. White, 2011, NeuroImage.

Bayesian estimation of orientation preference maps

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

Bayesian Inference for Sparse Generalized Linear Models

Matthias Bethge, Matthias W. Seeger, Sebastian Gerwinn, 2007, ECML.

Inferring the Structure of Ordinary Differential Equations pdf

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

Statistical Model Checking for Scenario-Based Verification of ADAS

Sebastian Gerwinn, Eike Möhlmann, Anja Sieper, 2018, Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions.

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.

Neuronal decision-making with realistic spiking models

Matthias Bethge, Jakob H. Macke, Ralf M. Haefner, 2009 .

Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes pdf

Melih Kandemir, Sebastian Gerwinn, Barbara Rakitsch, 2020, AISTATS.