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stat.ML2026
Origins and mitigation of double descent in reduced order modeling
Andrei A. Klishin, J. Nathan Kutz, Krithika Manohar
The paper investigates why double descent errors occur in reduced‑order models and proposes a data‑noise averaging framework to predict and mitigate these instabilities, demonstrat…
stat.ML2025
From STLS to Projection-based Dictionary Selection in Sparse Regression for System Identification
Hangjun Cho, Fabio V. G. Amaral, Andrei A. Klishin +2
In this work, we revisit dictionary-based sparse regression, in particular, Sequential Threshold Least Squares (STLS), and propose a score-guided library selection to provide pract…