Costas Papadimitriou

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors.
Reliab. Eng. Syst. Saf.
Menghao Ping, Wang-Ji Yan, Costas Papadimitriou
2025 J jnl
Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss.
CoRR
Lucas Amoudruz, Sergey Litvinov, Costas Papadimitriou, Petros Koumoutsakos
2025 J jnl
Learning non-stationary model of prediction errors with hierarchical Bayesian modeling.
Reliab. Eng. Syst. Saf.
Menghao Ping, Wang-Ji Yan, Xinyu Jia, Costas Papadimitriou, Ka-Veng Yuen
2024 J jnl
An interpretable wildfire spreading model for real-time predictions.
J. Comput. Sci.
Konstantinos Vogiatzoglou, Costas Papadimitriou, Konstantinos Ampountolas, Michail Chatzimanolakis, Petros Koumoutsakos, Vasilis Bontozoglou
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
Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems.
CoRR
Wang-Ji Yan, Lin-Feng Mei, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer
2024 J jnl
Physics-informed neural networks for parameter learning of wildfire spreading.
CoRR
Konstantinos Vogiatzoglou, Costas Papadimitriou, Vasilis Bontozoglou, Konstantinos Ampountolas
2023 J jnl
On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques.
CoRR
Omid Sedehi, Antonina M. Kosikova, Costas Papadimitriou, Lambros S. Katafygiotis
2021 J jnl
Optimal Sensor Placement for Reliable Virtual Sensing Using Modal Expansion and Information Theory.
Sensors
Tulay Ercan, Costas Papadimitriou
2020 J jnl
Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview.
Sensors
Mingming Song, Iman Behmanesh, Babak Moaveni, Costas Papadimitriou
2020 J jnl
Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge.
J. Sens. Actuator Networks
Costas Argyris, Costas Papadimitriou, Panagiotis Panetsos, Panos Tsopelas
2020 J jnl
On the Potenital of Dynamic Substructuring Methods for Model Updating.
CoRR
Thomas Simpson, Vasilis K. Dertimanis, Costas Papadimitriou, Eleni N. Chatzi
2017 J jnl
Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain.
Reliab. Eng. Syst. Saf.
Hector A. Jensen, C. Esse, V. Araya, Costas Papadimitriou
2016 — conf
Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations.
PASC
Lina Kulakova, Panagiotis Angelikopoulos, Panagiotis E. Hadjidoukas, Costas Papadimitriou, Petros Koumoutsakos
2016 J jnl
Model-reduction techniques for reliability-based design problems of complex structural systems.
Reliab. Eng. Syst. Saf.
Hector A. Jensen, Álvaro Muñoz, Costas Papadimitriou, Eduardo Millas
2015 — conf
Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification.
Euro-Par
Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Lina Kulakova, Costas Papadimitriou, Petros Koumoutsakos
2015 J jnl
Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models.
J. Comput. Phys.
Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Costas Papadimitriou, Petros Koumoutsakos