Search Results for author: Nisha Chandramoorthy

Found 4 papers, 2 papers with code

Score Operator Newton transport

no code implementations16 May 2023 Nisha Chandramoorthy, Florian Schaefer, Youssef Marzouk

We propose a new approach for sampling and Bayesian computation that uses the score of the target distribution to construct a transport from a given reference distribution to the target.

Bayesian Inference valid +1

On the generalization of learning algorithms that do not converge

no code implementations16 Aug 2022 Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka

To reduce this discrepancy between theory and practice, this paper focuses on the generalization of neural networks whose training dynamics do not necessarily converge to fixed points.

Learning Theory

Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems

1 code implementation21 Jan 2021 Adam A. Sliwiak, Nisha Chandramoorthy, Qiqi Wang

An assumption of smooth response to small parameter changes, of statistics or long-time averages of a chaotic system, is generally made in the field of sensitivity analysis, and the parametric derivatives of statistical quantities are critically used in science and engineering.

Chaotic Dynamics Dynamical Systems

A computable realization of Ruelle's formula for linear response of statistics in chaotic systems

2 code implementations10 Feb 2020 Nisha Chandramoorthy, Qiqi Wang

We present a computable reformulation of Ruelle's linear response formula for chaotic systems.

Dynamical Systems Mathematical Physics Mathematical Physics Chaotic Dynamics

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