Toward computing sensitivities of average quantities in turbulent flows. - Nisha Chandramoorthy; Zhong-Nan Wang; Qiqi Wang 001; Paul Tucker (CoRR, 2019)

Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems. - Adam A. Sliwiak; Nisha Chandramoorthy; Qiqi Wang 001 (Commun. Nonlinear Sci. Numer. Simul., 2021)

On the probability of finding nonphysical solutions through shadowing. - Nisha Chandramoorthy; Qiqi Wang 001 (J. Comput. Phys., 2021)

On the generalization of learning algorithms that do not converge. - Nisha Chandramoorthy; Andreas Loukas; Khashayar Gatmiry; Stefanie Jegelka (NeurIPS, 2022)

Efficient Computation of Linear Response of Chaotic Attractors with One-Dimensional Unstable Manifolds. - Nisha Chandramoorthy; Qiqi Wang 001 (SIAM J. Appl. Dyn. Syst., 2022)

A score-based operator Newton method for measure transport. - Nisha Chandramoorthy; Florian T. Schaefer; Youssef M. Marzouk (CoRR, 2023)

Score Operator Newton transport. - Nisha Chandramoorthy; Florian T. Schaefer; Youssef M. Marzouk (AISTATS, 2024)

When are dynamical systems learned from time series data statistically accurate? - Jeongjin Park; Nicole Yang; Nisha Chandramoorthy (NeurIPS, 2024)