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ORCIDSebastian Gerwinn
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2020 – today
- 2024
[c21]Juliane Weilbach, Sebastian Gerwinn, Karim Said Barsim, Martin Fränzle:
Counterfactual-Based Root Cause Analysis for Dynamical Systems. ECML/PKDD (6) 2024: 303-319- [i8]Juliane Weilbach, Sebastian Gerwinn, Karim Said Barsim, Martin Fränzle:
Counterfactual-based Root Cause Analysis for Dynamical Systems. CoRR abs/2406.08106 (2024) - 2023
- [c20]Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle:
Estimation of Counterfactual Interventions under Uncertainties. ACML 2023: 1463-1478 - [c19]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of composite systems by discrepancy propagation. UAI 2023: 1730-1740 - [i7]Juliane Weilbach, Sebastian Gerwinn, Melih Kandemir, Martin Fränzle:
Estimation of Counterfactual Interventions under Uncertainties. CoRR abs/2309.08332 (2023) - 2022
- [i6]David Reeb, Kanil Patel, Karim Said Barsim, Martin Schiegg, Sebastian Gerwinn:
Validation of Composite Systems by Discrepancy Propagation. CoRR abs/2210.12061 (2022) - 2021
- [c18]Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir:
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. AISTATS 2021: 478-486 - [i5]Juliane Weilbach, Sebastian Gerwinn, Christian Weilbach, Melih Kandemir
:
Inferring the Structure of Ordinary Differential Equations. CoRR abs/2107.07345 (2021) - 2020
- [i4]Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir:
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. CoRR abs/2006.09914 (2020)
2010 – 2019
- 2019
- [c17]Sebastian Vander Maelen, Matthias Büker, Birte Kramer, Eckard Böde, Sebastian Gerwinn, Georg Hake, Axel Hahn:
An Approach for Safety Assessment of Highly Automated Systems Applied to a Maritime Traffic Alert and Collision Avoidance System. ICSRS 2019: 494-503 - [i3]Manuel Haußmann, Sebastian Gerwinn, Melih Kandemir:
Bayesian Prior Networks with PAC Training. CoRR abs/1906.00816 (2019) - 2018
- [c16]Werner Damm, Martin Fränzle, Sebastian Gerwinn, Paul Kröger:
Perspectives on the Validation and Verification of Machine Learning Systems in the Context of Highly Automated Vehicles. AAAI Spring Symposia 2018 - [c15]Stefan Puch, Martin Fränzle, Sebastian Gerwinn:
Quantitative Risk Assessment of Safety-Critical Systems via Guided Simulation for Rare Events. ISoLA (2) 2018: 305-321 - [c14]David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch:
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds. NeurIPS 2018: 3341-3351 - [c13]Eckard Böde, Matthias Büker, Ulrich Eberle, Martin Fränzle, Sebastian Gerwinn, Birte Kramer:
Efficient Splitting of Test and Simulation Cases for the Verification of Highly Automated Driving Functions. SAFECOMP 2018: 139-153 - [i2]David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch:
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds. CoRR abs/1810.12263 (2018) - 2017
- [p1]Martin Fränzle, Yang Gao, Sebastian Gerwinn:
Constraint-Solving Techniques for the Analysis of Stochastic Hybrid Systems. Provably Correct Systems 2017: 9-38 - 2015
- [j6]Christian Ellen, Sebastian Gerwinn, Martin Fränzle:
Statistical model checking for stochastic hybrid systems involving nondeterminism over continuous domains. Int. J. Softw. Tools Technol. Transf. 17(4): 485-504 (2015) - [c12]Martin Fränzle, Sebastian Gerwinn, Paul Kröger, Alessandro Abate, Joost-Pieter Katoen:
Multi-objective Parameter Synthesis in Probabilistic Hybrid Systems. FORMATS 2015: 93-107 - 2014
- [c11]Markus Oertel, Sebastian Gerwinn, Achim Rettberg:
Simulative evaluation of contract-based change management. INDIN 2014: 16-21 - [c10]Sadegh Esmaeil Zadeh Soudjani, Sebastian Gerwinn, Christian Ellen, Martin Fränzle, Alessandro Abate:
Formal Synthesis and Validation of Inhomogeneous Thermostatically Controlled Loads. QEST 2014: 57-73 - 2013
- [c9]Christian Kuka, Andre Bolles, Alexander Funk, Sönke Eilers, Sören Schweigert, Sebastian Gerwinn, Daniela Nicklas:
SaLsA Streams: Dynamic Context Models for Autonomous Transport Vehicles Based on Multi-sensor Fusion. MDM (1) 2013: 263-266 - 2012
- [c8]Christian Kuka, Sebastian Gerwinn, Sören Schweigert, Sönke Eilers, Daniela Nicklas:
Context-model generation for safe autonomous transport vehicles. DEBS 2012: 365-366 - [c7]Christian Ellen, Sebastian Gerwinn, Martin Fränzle:
Confidence Bounds for Statistical Model Checking of Probabilistic Hybrid Systems. FORMATS 2012: 123-138 - 2011
- [j5]Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge:
In All Likelihood, Deep Belief Is Not Enough. J. Mach. Learn. Res. 12: 3071-3096 (2011) - [j4]Jakob H. Macke, Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, Matthias Bethge:
Gaussian process methods for estimating cortical maps. NeuroImage 56(2): 570-581 (2011) - 2010
- [b1]Sebastian Gerwinn:
Bayesian methods for neural data analysis. Eberhard Karls University of Tübingen, 2010, pp. 1-130 - [j3]Sebastian Gerwinn, Jakob H. Macke, Matthias Bethge:
Bayesian inference for generalized linear models for spiking neurons. Frontiers Comput. Neurosci. 4: 12 (2010) - [i1]Lucas Theis, Sebastian Gerwinn, Fabian H. Sinz, Matthias Bethge:
In All Likelihood, Deep Belief Is Not Enough. CoRR abs/1011.6086 (2010)
2000 – 2009
- 2009
- [j2]Sebastian Gerwinn, Jakob H. Macke, Matthias Bethge:
Bayesian population decoding of spiking neurons. Frontiers Comput. Neurosci. 3: 21 (2009) - [j1]Fabian H. Sinz, Sebastian Gerwinn, Matthias Bethge:
Characterization of the p-generalized normal distribution. J. Multivar. Anal. 100(5): 817-820 (2009) - [c6]Philipp Berens, Sebastian Gerwinn, Alexander S. Ecker, Matthias Bethge:
Neurometric function analysis of population codes. NIPS 2009: 90-98 - [c5]Sebastian Gerwinn, Philipp Berens, Matthias Bethge:
A joint maximum-entropy model for binary neural population patterns and continuous signals. NIPS 2009: 620-628 - [c4]Jakob H. Macke, Sebastian Gerwinn, Leonard E. White, Matthias Kaschube, Matthias Bethge:
Bayesian estimation of orientation preference maps. NIPS 2009: 1195-1203 - 2007
- [c3]Matthias W. Seeger, Sebastian Gerwinn, Matthias Bethge:
Bayesian Inference for Sparse Generalized Linear Models. ECML 2007: 298-309 - [c2]Matthias Bethge, Sebastian Gerwinn, Jakob H. Macke:
Unsupervised learning of a steerable basis for invariant image representations. Human Vision and Electronic Imaging 2007: 64920C - [c1]Sebastian Gerwinn, Jakob H. Macke, Matthias W. Seeger, Matthias Bethge:
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior. NIPS 2007: 529-536
Coauthor Index
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