Pantelis-Rafail Vlachas

According to our database, Pantelis-Rafail Vlachas authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deconstructing Recurrence, Attention, and Gating: Investigating the transferability of Transformers and Gated Recurrent Neural Networks in forecasting of dynamical systems.

Hunter Scott Heidenreich, Pantelis-Rafail Vlachas, Petros Koumoutsakos

CoRR, 2024

2023

Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems.

Ivica Kicic, Pantelis-Rafail Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos

CoRR, 2023

Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts.

Pantelis-Rafail Vlachas, Petros Koumoutsakos

CoRR, 2023

2022

Learning and Forecasting the Effective Dynamics of Complex Systems Across Scales.

Pantelis-Rafail Vlachas

PhD thesis, 2022

Multiscale simulations of complex systems by learning their effective dynamics.

Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos

Nat. Mach. Intell., 2022

2021

Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics.

Pantelis-Rafail Vlachas, Julija Zavadlav, Matej Praprotnik, Petros Koumoutsakos

CoRR, 2021

2020

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.

Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos

Neural Networks, 2020

Improved Memories Learning.

Francesco Varoli, Guido Novati, Pantelis-Rafail Vlachas, Petros Koumoutsakos

CoRR, 2020

Learning the Effective Dynamics of Complex Multiscale Systems.

Pantelis-Rafail Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos

CoRR, 2020

2019

Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.

Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos

CoRR, 2019

2018

Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long-Short Term Memory Networks.

Pantelis-Rafail Vlachas, Wonmin Byeon, Zhong Yi Wan, Themistoklis P. Sapsis, Petros Koumoutsakos

CoRR, 2018

2015

A fast analytical approach for static power-down mode analysis.

Michael Zwerger, Pantelis-Rafail Vlachas, Helmut Graeb

Proceedings of the 2015 IEEE International Conference on Electronics, 2015