Daniel Straub

49 papers B 1Journal 48
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep belief Markov models for POMDP inference.
Neural Networks
Giacomo Arcieri, Konstantinos G. Papakonstantinou, Daniel Straub, Eleni N. Chatzi
2025 J jnl
Convex Is Back: Solving Belief MDPs With Convexity-Informed Deep Reinforcement Learning.
CoRR
Daniel Koutas, Daniel Hettegger, Konstantinos G. Papakonstantinou, Daniel Straub
2025 J jnl
Deep Belief Markov Models for POMDP Inference.
CoRR
Giacomo Arcieri, Konstantinos G. Papakonstantinou, Daniel Straub, Eleni N. Chatzi
2025 J jnl
FORM-based global reliability sensitivity analysis of systems with multiple failure modes.
Reliab. Eng. Syst. Saf.
Iason Papaioannou, Daniel Straub
2025 J jnl
Safety integrity framework for automated driving.
CoRR
Moritz Werling, Rainer Faller, Wolfgang Betz, Daniel Straub
2024 J jnl
A metric for assessing and optimizing data-driven prognostic algorithms for predictive maintenance.
Reliab. Eng. Syst. Saf.
Antonios Kamariotis, Konstantinos Tatsis, Eleni N. Chatzi, Kai Goebel, Daniel Straub
2024 J jnl
Bayesian improved cross entropy method with categorical mixture models for network reliability assessment.
Reliab. Eng. Syst. Saf.
Jianpeng Chan, Iason Papaioannou, Daniel Straub
2024 J jnl
Branch-and-bound algorithm for efficient reliability analysis of general coherent systems.
CoRR
Ji-Eun Byun, Hyeuk Ryu, Daniel Straub
2024 J jnl
Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.
CoRR
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
2024 J jnl
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance.
Mach. Learn.
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2023 J jnl
An investigation of belief-free DRL and MCTS for inspection and maintenance planning.
CoRR
Daniel Koutas, Elizabeth Bismut, Daniel Straub
2023 J jnl
Bayesian updating and marginal likelihood estimation by cross entropy based importance sampling.
J. Comput. Phys.
Michael Engel, Oindrila Kanjilal, Iason Papaioannou, Daniel Straub
2023 J jnl
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems.
Reliab. Eng. Syst. Saf.
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2023 J jnl
Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method.
SIAM/ASA J. Uncertain. Quantification
Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub
2023 J jnl
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance.
CoRR
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2022 J jnl
An adaptive subset simulation algorithm for system reliability analysis with discontinuous limit states.
Reliab. Eng. Syst. Saf.
Jianpeng Chan, Iason Papaioannou, Daniel Straub
2022 J jnl
Bayesian post-processing of Monte Carlo simulation in reliability analysis.
Reliab. Eng. Syst. Saf.
Wolfgang Betz, Iason Papaioannou, Daniel Straub
2022 J jnl
Bridging POMDPs and Bayesian decision making for robust maintenance planning under model uncertainty: An application to railway systems.
CoRR
Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery, Daniel Straub, Konstantinos G. Papakonstantinou, Eleni N. Chatzi
2022 J jnl
Decision-theoretic reliability sensitivity.
Reliab. Eng. Syst. Saf.
Daniel Straub, Max Ehre, Iason Papaioannou
2022 J jnl
Optimal life-cycle mitigation of fatigue failure risk for structural systems.
Reliab. Eng. Syst. Saf.
Jorge Mendoza, Elizabeth Bismut, Daniel Straub, Jochen Köhler
2022 J jnl
Reliability-based inspection and maintenance planning of a nuclear feeder piping system.
Reliab. Eng. Syst. Saf.
Elizabeth Bismut, Mahesh D. Pandey, Daniel Straub
2022 J jnl
Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis.
SIAM J. Sci. Comput.
Max Ehre, Iason Papaioannou, Bruno Sudret, Daniel Straub
2021 J jnl
Cross-Entropy-Based Importance Sampling with Failure-Informed Dimension Reduction for Rare Event Simulation.
SIAM/ASA J. Uncertain. Quantification
Felipe Uribe, Iason Papaioannou, Youssef M. Marzouk, Daniel Straub
2021 J jnl
Optimal adaptive inspection and maintenance planning for deteriorating structural systems.
CoRR
Elizabeth Bismut, Daniel Straub
2021 J jnl
Optimal adaptive inspection and maintenance planning for deteriorating structural systems.
Reliab. Eng. Syst. Saf.
Elizabeth Bismut, Daniel Straub
2021 B conf
Parameter tuning for a Markov-based multi-sensor system.
SEAA
Minhao Qiu, Marco Kryda, Florian Bock, Tobias Antesberger, Daniel Straub, Reinhard German
2021 J jnl
Rare event estimation using stochastic spectral embedding.
CoRR
P.-R. Wagner, Stefano Marelli, Iason Papaioannou, Daniel Straub, Bruno Sudret
2021 J jnl
Uncertainty quantification of microstructure variability and mechanical behaviour of additively manufactured lattice structures.
CoRR
Nina Korshunova, Iason Papaioannou, Stefan Kollmannsberger, Daniel Straub, Ernst Rank
2021 J jnl
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating.
CoRR
Antonios Kamariotis, Eleni N. Chatzi, Daniel Straub
2021 J jnl
Variance-based reliability sensitivity analysis and the FORM α-factors.
Reliab. Eng. Syst. Saf.
Iason Papaioannou, Daniel Straub
2020 J jnl
A framework for global reliability sensitivity analysis in the presence of multi-uncertainty.
Reliab. Eng. Syst. Saf.
Max Ehre, Iason Papaioannou, Daniel Straub
2020 J jnl
Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles.
IEEE Trans. Intell. Transp. Syst.
Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub
2020 J jnl
Global sensitivity analysis in high dimensions with PLS-PCE.
Reliab. Eng. Syst. Saf.
Max Ehre, Iason Papaioannou, Daniel Straub
2020 J jnl
Sparse Polynomial Chaos expansions using variational relevance vector machines.
J. Comput. Phys.
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
2019 J jnl
Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid.
Reliab. Eng. Syst. Saf.
Anke Scherb, Luca Garrè, Daniel Straub
2019 J jnl
Improved cross entropy-based importance sampling with a flexible mixture model.
Reliab. Eng. Syst. Saf.
Iason Papaioannou, Sebastian Geyer, Daniel Straub
2019 J jnl
Matrix-based Bayesian Network for efficient memory storage and flexible inference.
Reliab. Eng. Syst. Saf.
Ji-Eun Byun, Kilian Zwirglmaier, Daniel Straub, Junho Song
2019 J jnl
PLS-based adaptation for efficient PCE representation in high dimensions.
J. Comput. Phys.
Iason Papaioannou, Max Ehre, Daniel Straub
2019 J jnl
Reliability Assessment of Safety-Critical Sensor Information: Does One Need a Reference Truth?
IEEE Trans. Reliab.
Mario Berk, Olaf Schubert, Hans-Martin Kroll, Boris Buschardt, Daniel Straub
2019 J jnl
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines.
CoRR
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
2017 J jnl
Capturing cognitive causal paths in human reliability analysis with Bayesian network models.
Reliab. Eng. Syst. Saf.
Kilian Zwirglmaier, Daniel Straub, Katrina M. Groth
2016 J jnl
A discretization procedure for rare events in Bayesian networks.
Reliab. Eng. Syst. Saf.
Kilian Zwirglmaier, Daniel Straub
2016 J jnl
Bayesian analysis of rare events.
J. Comput. Phys.
Daniel Straub, Iason Papaioannou, Wolfgang Betz
2015 J jnl
Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning.
Reliab. Eng. Syst. Saf.
Martina Sättele, Michael Bründl, Daniel Straub
2013 J jnl
Dynamic Bayesian Network for Probabilistic Modeling of Tunnel Excavation Processes.
Comput. Aided Civ. Infrastructure Eng.
Olga Spacková, Daniel Straub
2013 J jnl
Efficient Bayesian network modeling of systems.
Reliab. Eng. Syst. Saf.
Michelle Bensi, Armen Der Kiureghian, Daniel Straub
2012 J jnl
Probabilistic Graphical Models for Flood State Detection of Roads Combining Imagery and DEM.
IEEE Geosci. Remote. Sens. Lett.
Daniel Frey, Matthias Butenuth, Daniel Straub
2006 J jnl
A Computational Framework for Risk Assessment of RC Structures Using Indicators.
Comput. Aided Civ. Infrastructure Eng.
Michael H. Faber, Daniel Straub, Marc A. Maes
2006 J jnl
Computational Aspects of Risk-Based Inspection Planning.
Comput. Aided Civ. Infrastructure Eng.
Daniel Straub, Michael H. Faber