Bojana V. Rosic

According to our database, Bojana V. Rosic authored at least 17 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Constitutive Manifold Neural Networks.

Wouter J. Schuttert, Mohammed Iqbal Abdul Rasheed, Bojana Rosic

CoRR, June, 2025

Stochastic Up-Scaling of Discrete Fine-Scale Models Using Bayesian Updating.

Muhammad Sadiq Sarfaraz, Bojana V. Rosic, Hermann G. Matthies

Comput., 2025

2024

Stochastic modelling of symmetric positive definite material tensors.

Sharana Kumar Shivanand, Bojana Rosic, Hermann G. Matthies

J. Comput. Phys., 2024

Sampling free iterative PCE filter for state and parameter estimation of nonlinear dynamical systems.

Wouter van Dijk, Wouter Hakvoort, Bojana Rosic

J. Comput. Phys., 2024

Stochastic Modelling of Elasticity Tensors.

Sharana Kumar Shivanand, Bojana Rosic, Hermann G. Matthies

CoRR, 2024

2021

Scale-invariant multilevel Monte Carlo method.

Sharana Kumar Shivanand, Bojana Rosic

CoRR, 2021

Long short-term relevance learning.

Bram van de Weg, Lars Greve, Bojana Rosic

CoRR, 2021

2020

Bayesian stochastic multi-scale analysis via energy considerations.

Muhammad Sadiq Sarfaraz, Bojana V. Rosic, Hermann G. Matthies, Adnan Ibrahimbegovic

Adv. Model. Simul. Eng. Sci., 2020

2019

Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics Computers and Fluids.

Giovanni Stabile, Bojana Rosic

CoRR, 2019

Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods.

Ehsan Adeli, Bojana Rosic, Hermann G. Matthies, Sven Reinstädler

CoRR, 2019

2016

Parameter estimation via conditional expectation: a Bayesian inversion.

Hermann G. Matthies, Elmar Zander, Bojana V. Rosic, Alexander Litvinenko

Adv. Model. Simul. Eng. Sci., 2016

2015

Comparison of deterministic and probabilistic approaches to identify the dynamic moving load and damages of a reinforced concrete beam.

Julien Waeytens, Bojana Rosic

Appl. Math. Comput., 2015

2013

Sampling-free linear Bayesian updating of model state and parameters using a square root approach.

Oliver Pajonk, Bojana V. Rosic, Hermann G. Matthies

Comput. Geosci., 2013

2012

Sampling-free linear Bayesian update of polynomial chaos representations.

Bojana V. Rosic, Alexander Litvinenko, Oliver Pajonk, Hermann G. Matthies

J. Comput. Phys., 2012

Acceleration of uncertainty updating in the description of transport processes in heterogeneous materials.

Anna Kucerová, Jan Sykora, Bojana Rosic, Hermann G. Matthies

J. Comput. Appl. Math., 2012

Parameter Identification in a Probabilistic Setting

Bojana V. Rosic, Anna Kucerová, Jan Sykora, Oliver Pajonk, Alexander Litvinenko, Hermann G. Matthies

CoRR, 2012

2011

Parametric and Uncertainty Computations with Tensor Product Representations.

Hermann G. Matthies, Alexander Litvinenko, Oliver Pajonk, Bojana V. Rosic, Elmar Zander

Proceedings of the Uncertainty Quantification in Scientific Computing, 2011