Somdatta Goswami

Enhanced accuracy through ensembling of randomly initialized auto-regressive models for time-dependent PDEs

2025 · arXiv (Cornell University)

Systems governed by partial differential equations (PDEs) require computationally intensive numerical solvers to predict spatiotemporal field evolution. While machine learning (ML) surrogates offer faster solutions, autoregressive inference with ML models suffer from error accumulation over …