39 citations · 151 across the 12 of their papers we have counts for
15 papers
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kičić, Pantelis R. Vlachas, Georgios Arampatzis +3
Predictive simulations are essential for applications ranging from weather forecasting to material design. The veracity of these simulations hinges on their capacity to capture the…
The stress-free state of human erythrocytes: data driven inference of a transferable RBC model
Lucas Amoudruz, Athena Economides, Georgios Arampatzis +1
The stress-free state (SFS) of red blood cells (RBCs) is a fundamental reference configuration for the calibration of computational models, yet it remains unknown. Current experime…
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler +1
Predictive simulations of complex systems are essential for applications ranging from weather forecasting to drug design. The veracity of these predictions hinges on their capacity…
Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization
Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis +3
We present Korali, an open-source framework for large-scale Bayesian uncertainty quantification and stochastic optimization. The framework relies on non-intrusive sampling of compl…
Optimal sensing for fish school identification
Pascal Weber, Georgios Arampatzis, Guido Novati +3
Fish schooling implies an awareness of the swimmers for their companions. In flow mediated environments, in addition to visual cues, pressure and shear sensors on the fish body are…
Optimal sensor placement for artificial swimmers
Siddhartha Verma, Costas Papadimitriou, Nora Luethen +2
Natural swimmers rely for their survival on sensors that gather information from the environment and guide their actions. The spatial organization of these sensors, such as the vis…
Bayesian selection for coarse-grained models of liquid water
Julija Zavadlav, Georgios Arampatzis, Petros Koumoutsakos
The necessity for accurate and computationally efficient representations of water in atomistic simulations that can span biologically relevant timescales has born the necessity of…
-Leaping: An adaptive, accelerated stochastic simulation algorithm, bridging -leaping and -leaping
Jana Lipková, Georgios Arampatzis, Philippe Chatelain +2
We propose the -leaping algorithm for the acceleration of Gillespie's stochastic simulation algorithm that combines the advantages of the two main accelerated methods; the -l…
Data-driven prediction and origin identification of epidemics in population networks
Karen Larson, Clark Bowman, Zhizhong Chen +4
Effective intervention strategies for epidemics rely on the identification of their origin and on the robustness of the predictions made by network disease models. We introduce a B…
Experimental data over quantum mechanics simulations for inferring the repulsive exponent of the Lennard-Jones potential in Molecular Dynamics
Lina Kulakova, Georgios Arampatzis, Panagiotis Angelikopoulos +3
The Lennard-Jones (LJ) potential is a cornerstone of Molecular Dynamics (MD) simulations and among the most widely used computational kernels in science. The potential models atomi…
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics
Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos +3
We propose an algorithm for the efficient and robust sampling of the posterior probability distribution in Bayesian inference problems. The algorithm combines the local search capa…
Efficient estimators for likelihood ratio sensitivity indices of complex stochastic dynamics
Georgios Arampatzis, Markos A. Katsoulakis, Luc Rey-Bellet
We demonstrate that centered likelihood ratio estimators for the sensitivity indices of complex stochastic dynamics are highly efficient with low, constant in time variance and con…
Pathwise Sensitivity Analysis in Transient Regimes
Georgios Arampatzis, Markos A. Katsoulakis, Yannis Pantazis
The instantaneous relative entropy (IRE) and the corresponding instanta- neous Fisher information matrix (IFIM) for transient stochastic processes are pre- sented in this paper. Th…
Accelerated Sensitivity Analysis in High-Dimensional Stochastic Reaction Networks
Georgios Arampatzis, Markos A. Katsoulakis, Yannis Pantazis
In this paper, a two-step strategy for parametric sensitivity analysis for such systems is proposed, exploiting advantages and synergies between two recently proposed sensitivity a…
Goal-oriented sensitivity analysis for lattice kinetic Monte Carlo simulations
Georgios Arampatzis, Markos Katsoulakis
In this paper we propose a new class of coupling methods for the sensitivity analysis of high dimensional stochastic systems and in particular for lattice Kinetic Monte Carlo. Sens…