Costas Papadimitriou

According to our database, Costas Papadimitriou authored at least 18 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A geometry-aligned multi-fidelity framework for uncertainty quantification of wildfire spread.

Konstantinos Vogiatzoglou, Costas Papadimitriou, Vasilis Bontozoglou, Petros Koumoutsakos, Han Gao

CoRR, May, 2026

Variational inference for hierarchical Bayesian learning framework for model updating with non-stationary prediction errors.

Menghao Ping, Wang-Ji Yan, Costas Papadimitriou

Reliab. Eng. Syst. Saf., 2026

2025

Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss.

Lucas Amoudruz, Sergey Litvinov, Costas Papadimitriou, Petros Koumoutsakos

CoRR, October, 2025

Learning non-stationary model of prediction errors with hierarchical Bayesian modeling.

Menghao Ping, Wang-Ji Yan, Xinyu Jia, Costas Papadimitriou, Ka-Veng Yuen

Reliab. Eng. Syst. Saf., 2025

2024

An interpretable wildfire spreading model for real-time predictions.

Konstantinos Vogiatzoglou, Costas Papadimitriou, Konstantinos Ampountolas, Michail Chatzimanolakis, Petros Koumoutsakos, Vasilis Bontozoglou

J. Comput. Sci., 2024

Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Review of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems.

Wang-Ji Yan, Lin-Feng Mei, Jiang Mo, Costas Papadimitriou, Ka-Veng Yuen, Michael Beer

CoRR, 2024

Physics-informed neural networks for parameter learning of wildfire spreading.

Konstantinos Vogiatzoglou, Costas Papadimitriou, Vasilis Bontozoglou, Konstantinos Ampountolas

CoRR, 2024

Monitoring-Supported Value Generation for Managing Structures and Infrastructure Systems.

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

CoRR, 2024

2023

On the Integration of Physics-Based Machine Learning with Hierarchical Bayesian Modeling Techniques.

Omid Sedehi, Antonina M. Kosikova, Costas Papadimitriou, Lambros S. Katafygiotis

CoRR, 2023

2021

Optimal Sensor Placement for Reliable Virtual Sensing Using Modal Expansion and Information Theory.

Tulay Ercan, Costas Papadimitriou

Sensors, 2021

2020

Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview.

Mingming Song, Iman Behmanesh, Babak Moaveni, Costas Papadimitriou

Sensors, 2020

Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge.

Costas Argyris, Costas Papadimitriou, Panagiotis Panetsos, Panos Tsopelas

J. Sens. Actuator Networks, 2020

On the Potenital of Dynamic Substructuring Methods for Model Updating.

Thomas Simpson, Vasilis K. Dertimanis, Costas Papadimitriou, Eleni N. Chatzi

CoRR, 2020

2017

Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain.

Hector A. Jensen, C. Esse, V. Araya, Costas Papadimitriou

Reliab. Eng. Syst. Saf., 2017

2016

Model-reduction techniques for reliability-based design problems of complex structural systems.

Hector A. Jensen, Álvaro Muñoz, Costas Papadimitriou, Eduardo Millas

Reliab. Eng. Syst. Saf., 2016

Approximate Bayesian Computation for Granular and Molecular Dynamics Simulations.

Lina Kulakova, Panagiotis Angelikopoulos, Panagiotis E. Hadjidoukas, Costas Papadimitriou, Petros Koumoutsakos

Proceedings of the Platform for Advanced Scientific Computing Conference, 2016

2015

Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models.

Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Costas Papadimitriou, Petros Koumoutsakos

J. Comput. Phys., 2015

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification.

Panagiotis E. Hadjidoukas, Panagiotis Angelikopoulos, Lina Kulakova, Costas Papadimitriou, Petros Koumoutsakos

Proceedings of the Euro-Par 2015: Parallel Processing, 2015