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cs.LG2026
TRIE: An Evaluation Framework for Stochastic PDE Surrogates
Bharat Srikishan, Javier E. Santos, Nikhil Muralidhar +1
Many scientific systems exhibit uncertainty from stochastic forcing, unresolved degrees of freedom, or imperfect observations, making reliable surrogate forecasting fundamentally d…
cs.LG2022★ 21 cited
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
Charles D. Young, Michael D. Graham
A common problem in time series analysis is to predict dynamics with only scalar or partial observations of the underlying dynamical system. For data on a smooth compact manifold,…