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ORCIDDaniel Straub
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- affiliation: Technical University Munich, Germany
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2020 – today
- 2024
[j33]Giacomo Arcieri
, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance. Mach. Learn. 113(10): 7967-7995 (2024)- [j32]Antonios Kamariotis, Konstantinos Tatsis, Eleni N. Chatzi, Kai Goebel, Daniel Straub:
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance. Reliab. Eng. Syst. Saf. 242: 109723 (2024) - [j31]Jianpeng Chan, Iason Papaioannou, Daniel Straub:
Bayesian improved cross entropy method with categorical mixture models for network reliability assessment. Reliab. Eng. Syst. Saf. 252: 110432 (2024) - [i9]Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub, Nikolaos Dervilis, Kai Goebel, Aidan J. Hughes, Geert Lombaert, Costas Papadimitriou, Konstantinos G. Papakonstantinou, Matteo Pozzi, Michael Todd, Keith Worden:
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems. CoRR abs/2402.00021 (2024) - 2023
- [j30]Michael Engel, Oindrila Kanjilal, Iason Papaioannou, Daniel Straub:
Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling. J. Comput. Phys. 473: 111746 (2023) - [j29]Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub:
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method. SIAM/ASA J. Uncertain. Quantification 11(1): 358-388 (2023) - [j28]Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. Reliab. Eng. Syst. Saf. 239: 109496 (2023) - [i8]Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance. CoRR abs/2307.08082 (2023) - [i7]Daniel Koutas, Elizabeth Bismut, Daniel Straub:
An investigation of belief-free DRL and MCTS for inspection and maintenance planning. CoRR abs/2312.14824 (2023) - 2022
- [j27]Daniel Straub, Max Ehre, Iason Papaioannou:
Decision-theoretic reliability sensitivity. Reliab. Eng. Syst. Saf. 221: 108215 (2022) - [j26]Jorge Mendoza, Elizabeth Bismut, Daniel Straub, Jochen Köhler:
Optimal life-cycle mitigation of fatigue failure risk for structural systems. Reliab. Eng. Syst. Saf. 222: 108390 (2022) - [j25]Elizabeth Bismut, Mahesh D. Pandey, Daniel Straub:
Reliability-based inspection and maintenance planning of a nuclear feeder piping system. Reliab. Eng. Syst. Saf. 224: 108521 (2022) - [j24]Jianpeng Chan, Iason Papaioannou, Daniel Straub:
An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states. Reliab. Eng. Syst. Saf. 225: 108607 (2022) - [j23]Wolfgang Betz, Iason Papaioannou, Daniel Straub:
Bayesian post-processing of Monte Carlo simulation in reliability analysis. Reliab. Eng. Syst. Saf. 227: 108731 (2022) - [j22]Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub:
Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis. SIAM J. Sci. Comput. 44(3): 558- (2022) - [i6]Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi:
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems. CoRR abs/2212.07933 (2022) - 2021
- [j21]Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub:
Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation. SIAM/ASA J. Uncertain. Quantification 9(2): 818-847 (2021) - [j20]Iason Papaioannou, Daniel Straub:
Variance-based reliability sensitivity analysis and the FORM α-factors. Reliab. Eng. Syst. Saf. 210: 107496 (2021) - [j19]Elizabeth Bismut, Daniel Straub:
Optimal adaptive inspection and maintenance planning for deteriorating structural systems. Reliab. Eng. Syst. Saf. 215: 107891 (2021) - [c1]Minhao Qiu, Marco Kryda, Florian Bock, Tobias Antesberger, Daniel Straub, Reinhard German:
Parameter tuning for a Markov-based multi-sensor system. SEAA 2021: 351-356 - [i5]Elizabeth Bismut, Daniel Straub:
Optimal adaptive inspection and maintenance planning for deteriorating structural systems. CoRR abs/2102.06016 (2021) - [i4]Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub:
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating. CoRR abs/2103.07382 (2021) - [i3]Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daniel Straub, Ernst Rank:
Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures. CoRR abs/2103.09550 (2021) - [i2]P.-R. Wagner, Stefano Marelli, Iason Papaioannou, Daniel Straub, Bruno Sudret:
Rare event estimation using stochastic spectral embedding. CoRR abs/2106.05824 (2021) - 2020
- [j18]Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using variational relevance vector machines. J. Comput. Phys. 416: 109498 (2020) - [j17]Max Ehre, Iason Papaioannou, Daniel Straub:
A framework for global reliability sensitivity analysis in the presence of multi-uncertainty. Reliab. Eng. Syst. Saf. 195: 106726 (2020) - [j16]Max Ehre, Iason Papaioannou, Daniel Straub:
Global sensitivity analysis in high dimensions with PLS-PCE. Reliab. Eng. Syst. Saf. 198: 106861 (2020) - [j15]Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub:
Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 21(12): 5073-5085 (2020)
2010 – 2019
- 2019
- [j14]Iason Papaioannou, Max Ehre, Daniel Straub:
PLS-based adaptation for efficient PCE representation in high dimensions. J. Comput. Phys. 387: 186-204 (2019) - [j13]Ji-Eun Byun, Kilian Zwirglmaier, Daniel Straub, Junho Song:
Matrix-based Bayesian Network for efficient memory storage and flexible inference. Reliab. Eng. Syst. Saf. 185: 533-545 (2019) - [j12]Iason Papaioannou, Sebastian Geyer, Daniel Straub:
Improved cross entropy-based importance sampling with a flexible mixture model. Reliab. Eng. Syst. Saf. 191 (2019) - [j11]Anke Scherb, Luca Garrè, Daniel Straub:
Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid. Reliab. Eng. Syst. Saf. 191 (2019) - [j10]Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub:
Reliability Assessment of Safety-Critical Sensor Information: Does One Need a Reference Truth? IEEE Trans. Reliab. 68(4): 1227-1241 (2019) - [i1]Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile:
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. CoRR abs/1912.11029 (2019) - 2017
- [j9]Kilian Zwirglmaier, Daniel Straub, Katrina M. Groth:
Capturing cognitive causal paths in human reliability analysis with Bayesian network models. Reliab. Eng. Syst. Saf. 158: 117-129 (2017) - 2016
- [j8]Daniel Straub, Iason Papaioannou, Wolfgang Betz:
Bayesian analysis of rare events. J. Comput. Phys. 314: 538-556 (2016) - [j7]Kilian Zwirglmaier, Daniel Straub:
A discretization procedure for rare events in Bayesian networks. Reliab. Eng. Syst. Saf. 153: 96-109 (2016) - 2015
- [j6]Martina Sättele, Michael Bründl, Daniel Straub:
Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning. Reliab. Eng. Syst. Saf. 142: 192-202 (2015) - 2013
- [j5]Olga Spacková, Daniel Straub:
Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes. Comput. Aided Civ. Infrastructure Eng. 28(1): 1-21 (2013) - [j4]Michelle Bensi, Armen Der Kiureghian, Daniel Straub:
Efficient Bayesian network modeling of systems. Reliab. Eng. Syst. Saf. 112: 200-213 (2013) - 2012
- [j3]Daniel Frey, Matthias Butenuth, Daniel Straub:
Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM. IEEE Geosci. Remote. Sens. Lett. 9(6): 1051-1055 (2012)
2000 – 2009
- 2006
- [j2]Daniel Straub, Michael H. Faber:
Computational Aspects of Risk-Based Inspection Planning. Comput. Aided Civ. Infrastructure Eng. 21(3): 179-192 (2006) - [j1]Michael H. Faber, Daniel Straub, Marc A. Maes:
A Computational Framework for Risk Assessment of RC Structures Using Indicators. Comput. Aided Civ. Infrastructure Eng. 21(3): 216-230 (2006)
Coauthor Index
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