4 citations · 4 across the 3 of their papers we have counts for
4 papers
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
Junaid Farooq, Danish Rafiq, Pantelis R. Vlachas +1
Forecasting complex system dynamics, particularly for long-term predictions, is persistently hindered by error accumulation and computational burdens. This study presents RefreshNe…
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kičić, Pantelis R. Vlachas, Georgios Arampatzis +3
Predictive simulations are essential for applications ranging from weather forecasting to material design. The veracity of these simulations hinges on their capacity to capture the…
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Pantelis R. Vlachas, Petros Koumoutsakos
Recurrent Neural Networks (RNNs) have become an integral part of modeling and forecasting frameworks in areas like natural language processing and high-dimensional dynamical system…
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler +1
Predictive simulations of complex systems are essential for applications ranging from weather forecasting to drug design. The veracity of these predictions hinges on their capacity…