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Pantelis R. Vlachas

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

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Oct 03, 2024
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RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing

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Jan 24, 2024
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Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems

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Apr 04, 2023
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Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts

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Feb 22, 2023
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Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics

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Feb 17, 2021
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Improved Memories Learning

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Aug 24, 2020
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Learning the Effective Dynamics of Complex Multiscale Systems

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Jul 01, 2020
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Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms

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Oct 09, 2019
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Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks

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Jul 10, 2018
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