102 citations · 146 across the 9 of their papers we have counts for
10 papers
Generalized Kalman filter based temporal difference reinforcement learning
Vasos Arnaoutis, Eric Lutters, Bojana Rosić
In this paper, we present a generalized temporal-difference (TD) reinforcement learning framework based on the theory of conditional expectations. The value and action-value (Q-val…
Long short-term relevance learning
Bram van de Weg, Lars Greve, Bojana Rosic
To incorporate prior knowledge as well as measurement uncertainties in the traditional long short term memory (LSTM) neural networks, an efficient sparse Bayesian training algorith…
Bayesian stochastic multi-scale analysis via energy considerations
M. S. Sarfaraz, B. Rosic, H. G. Matthies +1
In this paper physical multi-scale processes governed by their own principles for evolution or equilibrium on each scale are coupled by matching the stored and dissipated energy, i…
Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics
Giovanni Stabile, Bojana Rosic
In this paper we propose a Bayesian method as a numerical way to correct and stabilise projection-based reduced order models (ROM) in computational fluid dynamics problems. The app…
Stochastic state estimation via incremental iterative sparse polynomial chaos based Bayesian-Gauss-Newton-Markov-Kalman filter
Bojana Rosic
In this paper is proposed a novel incremental iterative Gauss-Newton-Markov-Kalman filter method for state estimation of dynamic models given noisy measurements. The mathematical f…
Effect of Load Path on Parameter Identification for Plasticity Models using Bayesian Methods
Ehsan Adeli, Bojana Rosić, Hermann G. Matthies +1
To evaluate the cyclic behavior under different loading conditions using the kinematic and isotropic hardening theory of steel, a Chaboche viscoplastic material model is employed.…