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Books and Theses
- 2022
[b1]Pantelis-Rafail Vlachas:
Learning and Forecasting the Effective Dynamics of Complex Systems Across Scales. ETH Zurich, Zürich, Switzerland, 2022
Journal Articles
- 2022
- [j2]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
- [j1]Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos:
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Neural Networks 126: 191-217 (2020)
Conference and Workshop Papers
- 2015
- [c1]Michael Zwerger, Pantelis-Rafail Vlachas, Helmut Graeb:
A fast analytical approach for static power-down mode analysis. ICECS 2015: 1-4
Informal and Other Publications
- 2024
- [i8]Hunter Scott Heidenreich, Pantelis-Rafail Vlachas, Petros Koumoutsakos:
Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems. CoRR abs/2410.02654 (2024) - 2023
- [i7]Pantelis-Rafail Vlachas, Petros Koumoutsakos:
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts. CoRR abs/2302.11101 (2023) - [i6]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) - 2021
- [i5]Pantelis-Rafail Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos:
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics. CoRR abs/2102.08810 (2021) - 2020
- [i4]Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos:
Learning the Effective Dynamics of Complex Multiscale Systems. CoRR abs/2006.13431 (2020) - [i3]Francesco Varoli, Guido Novati, Pantelis-Rafail Vlachas, Petros Koumoutsakos:
Improved Memories Learning. CoRR abs/2008.10433 (2020) - 2019
- [i2]Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos:
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. CoRR abs/1910.05266 (2019) - 2018
- [i1]Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos:
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks. CoRR abs/1802.07486 (2018)
Coauthor Index
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