Development of an Efficient and Flexible Pipeline for Lagrangian Coherent Structure Computation. - Siavash Ameli; Yogin Desai; Shawn C. Shadden (Topological Methods in Data Analysis and Visualization, 2014)

Interpolating the Trace of the Inverse of Matrix A + tB. - Siavash Ameli; Shawn C. Shadden (CoRR, 2020)

Noise Estimation in Gaussian Process Regression. - Siavash Ameli; Shawn C. Shadden (CoRR, 2022)

Development of an Efficient and Flexible Pipeline for Lagrangian Coherent Structure Computation. - Siavash Ameli; Yogin Desai; Shawn C. Shadden (CoRR, 2022)

Interpolating log-determinant and trace of the powers of matrix bfA + tbfB. - Siavash Ameli; Shawn C. Shadden (Stat. Comput., 2022)

A singular Woodbury and pseudo-determinant matrix identities and application to Gaussian process regression. - Siavash Ameli; Shawn C. Shadden (Appl. Math. Comput., 2023)

Optimizing the cloud? Don't train models. Build oracles! - Tiemo Bang; Conor Power; Siavash Ameli; Natacha Crooks; Joseph M. Hellerstein (CIDR, 2024)

A Statistical Framework for Ranking LLM-based Chatbots. - Siavash Ameli; Siyuan Zhuang; Ion Stoica; Michael W. Mahoney (ICLR, 2025)

Determinant Estimation under Memory Constraints and Neural Scaling Laws. - Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Fred Roosta; Michael W. Mahoney (CoRR, 2025)

Spectral Estimation with Free Decompression. - Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Michael W. Mahoney (CoRR, 2025)