Kičić I., Vlachas P., Arampatzis G, Chatzimanolakis M., Guibas L., Koumoutsakos P., Adaptive learning of effective dynamics for online modeling of complex systems, Computer Methods in Applied Mechanics and Engineering, 2023
Vlachas P.R., Arampatzis G., Uhler C., and Koumoutsakos P., Learning the Effective Dynamics of Complex Multiscale Systems, Nature Machine Inteligence, 2022.
Martin S.M., Wälchli D., Arampatzis G., Koumoutsakos P. Korali: Extreme-Scale Bayesian Uncertainty Quantification and Optimization, Computer Methods in Applied Mechanics and Engineering, 2021.
Economides A., Arampatzis G., Alexeev D., Litvinov S., Amoudruz L., Kulakova L., Papadimitriou C., and Koumoutsakos P. Hierarchical Bayesian Uncertainty Quantification for a Red Blood Cell Mode, Physical Review Applied, 2021.
Biller-Andorno N., Ferrario A., Joebges S., Krones T., Massini F., Barth P., Arampatzis G., Krauthammer M. AI support for ethical decision-making around resuscitation: proceed with care, Journal of Medical Ethics, 2021.
Chatzimanolakis M., Weber A., Arampatzis G., Wälchli D., Kičić I., Karnakov P., Papadimitriou C., Koumoutsakos P. Optimal Allocation of Limited Test Resources for the Quantification of COVID-19 Infections, Swiss Medical Weekly, 2021.
Larson K., Arampatzis G., Bowman C., Chen Z., Hadjidoukas P., Papadimitriou C., Koumoutsakos P, and Matzavinos A. Data-driven prediction and origin identification of epidemics in population networks, Royal Society Open Science, 2021
P. Karnakov, G. Arampatzis, I. Kičić, F. Wermelinger, D. Wälchli, C. Papadimitriou, and P. Koumoutsakos, Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries, Swiss Medical Weekly, 2020.
P. Weber, G. Arampatzis, G. Novati, S. Verma, C. Papadimitriou, and P. Koumoutsakos, Optimal flow sensing for schooling swimmers, Biomimetics, 2020.
S. Verma, C. Papadimitriou, N. Luethen, G. Arampatzis and P. Koumoutsakos, Optimal sensor placement for artificial swimmers, Journal of Fluid Mechanics, 2019.
W. Byeon, M. Dom'inguez-Rodrigo, G. Arampatzis, E. Baquedano, J. Yravedra, M. A. Mate-Gonzalez, and P. Koumoutsakos, Automated identification and deep classification of cut marks on bones and its paleoanthropological implications, Journal of computational science, 2019.
Zavadlav J., Arampatzis G., Koumoutsakos P., Bayesian selection for coarse-grained models of liquid water, Scientific Reports, 2019.
Karathanasopoulos N., Arampatzis G., Ganghoffer J.F., Unravelling the viscoelastic, buffer-like mechanical behavior of tendons: A quantitative study at the fibril-fiber scale, Journal of the Mechanical Behavior of Biomedical Materials, 2018.
Lipkova J., Arampatzis G., Chatelain P., Menze B., Koumoutsakos P., S-Leaping: An adaptive, accelerated stochastic simulation algorithm, bridging tau-leaping and R-leaping, Bulletin of Mathematical Biology, 2018.
Arampatzis G., W"alchi D., Angelikopoulos P., Wu S., Hadjidoukas P. and Koumoutsakos P., Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics, SIAM Journal on Scientific Computing, 2018.
Kulakova L., Arampatzis G., Angelikopoulos P., Papadimitriou C., Chatzidoukas P. and Koumoutsakos P. Experimental data over quantum mechanics simulations for inferring the repulsive exponent of the Lennard-Jones potential in Molecular Dynamics, Scientific Reports, 2017.
Mosimann B., Arampatzis G., Amylidi-Mohr S., Bessire A., Spinelli M., Koumoutsakos P., Surbek D., Raio L. Reference ranges for fetal atrioventricular and ventriculoatrial time intervals and their ratios during normal pregnancy, Fetal Diagnosis and Therapy, 2017.
Arampatzis G., Bellet L.R., Katsoulakis M., Efficient estimators for likelihood ratio sensitivity indices of complex stochastic dynamics, Journal of Chemical Physics, 2016.
Arampatzis G., Katsoulakis M., Pantazis I., Pathwise Sensitivity Analysis in Transient Regimes, Rocky Mountain Journal of Mathematics, 2015.
Arampatzis G., Katsoulakis M., Pantazis I., Accelerated Sensitivity Analysis in High-Dimensional Stochastic Reaction Networks, PLOS ONE, 2014.
Arampatzis G. and Katsoulakis M.A. Goal oriented sensitivity analysis for lattice kinetic Monte Carlo simulations, Journal of Chemical Physics, 2014.
Arampatzis G., Katsoulakis M.A., Plechac P. Parallelization, processor communication and error analysis in lattice kinetic Monte Carlo, SIAM Numerical Analysis, 2014.
Arampatzis G., Katsoulakis M.A., Plechac P., Taufer M. and Xu L.. Hierarchical Fractional Step approximations and parallel kinetic monte carlo algorithms, Journal of Computational Physics, 2012.
Arampatzis G., Vavilis P., Toulopoulos I., Ekaterinaris J. A., Implicit High-Order Time-Marching Schemes for the Linearized Euler Equations, AIAA Journal, 2007.