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ORCIDGeorgios Arampatzis
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2020 – today
- 2023
[j4]Kannan Govindan
, Georgios Arampatzis:
A framework to measure readiness and barriers for the implementation of Industry 4.0: A case approach. Electron. Commer. Res. Appl. 59: 101249 (2023)- [i4]Lucas Amoudruz, Athena Economides, Georgios Arampatzis, Petros Koumoutsakos:
The stress-free state of human erythrocytes: data driven inference of a transferable RBC model. CoRR abs/2303.03404 (2023) - [i3]Ivica Kicic, Pantelis-Rafail Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos:
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR abs/2304.01732 (2023) - 2022
- [j3]Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos:
Multiscale simulations of complex systems by learning their effective dynamics. Nat. Mach. Intell. 4(4): 359-366 (2022) - 2020
- [c3]Daniel Wälchli, Sergio M. Martin, Athena Economides, Lucas Amoudruz, Georgios Arampatzis, Xin Bian, Petros Koumoutsakos:
Load Balancing in Large Scale Bayesian Inference. PASC 2020: 5:1-5:12 - [i2]Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis, Petros Koumoutsakos:
Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification. CoRR abs/2005.13457 (2020) - [i1]Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos:
Learning the Effective Dynamics of Complex Multiscale Systems. CoRR abs/2006.13431 (2020)
2010 – 2019
- 2019
- [j2]Wonmin Byeon, Manuel Domínguez-Rodrigo, Georgios Arampatzis, Enrique Baquedano, José Yravedra, Miguel Ángel Maté-González, Petros Koumoutsakos:
Automated identification and deep classification of cut marks on bones and its paleoanthropological implications. J. Comput. Sci. 32: 36-43 (2019) - [c2]Georgios Arampatzis, Daniel Wälchli, Pascal Weber, Henri Rästas, Petros Koumoutsakos:
(μ, λ)-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics. PASC 2019: 15:1-15:9 - 2018
- [j1]Georgios Arampatzis, Daniel Wälchli, Panagiotis Angelikopoulos, Stephen Wu, Panagiotis E. Hadjidoukas, Petros Koumoutsakos:
Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics. SIAM J. Sci. Comput. 40(3) (2018) - 2017
- [c1]Stefanos Ougiaroglou, Georgios Arampatzis, Dimitris A. Dervos, Georgios Evangelidis:
Generating Fixed-Size Training Sets for Large and Streaming Datasets. ADBIS 2017: 88-102
Coauthor Index
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