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Nisha Chandramoorthy

2 papers indexed

arxivcs.LGmath.PRstat.ML2026-07-16

Diffusion models recover accurate mixture weights despite score function insensitivity

Andrew Dennehy, Ramchandran Muthukumar, Rebecca Willett, Nisha Chandramoorthy

Score-based generative models exhibit a puzzling behavior: they often appear to cover all modes of a target multimodal distribution and yet may fail to learn the correct relative mode amplitudes, which can be interpreted as mixture weights. We resolve this apparent paradox by rel…

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arxivstat.MLcs.LGmath.NA2026-07-01

From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators

Nisha Chandramoorthy, Daniel Sanz-Alonso, Nathan Waniorek

We establish approximation and learning guarantees for Fourier neural operators (FNOs) applied to time-$T$ solution operators of dissipative evolution equations. The analysis builds on the premise that FNOs can efficiently approximate and learn solution operators whenever these o…

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