no code implementations • 16 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.
no code implementations • 16 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.
1 code implementation • 21 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
2 code implementations • 10 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