126 citations · 170 across the 5 of their papers we have counts for
5 papers
Hierarchy of extreme-event predictability in turbulence revealed by machine learning
Yuxuan Yang, Chenyu Dong, Gianmarco Mengaldo
Extreme-event predictability in turbulence is strongly state dependent, yet event-by-event predictability horizons are difficult to quantify without access to governing equations o…
Online data-driven changepoint detection for high-dimensional dynamical systems
Sen Lin, Gianmarco Mengaldo, Romit Maulik
The detection of anomalies or transitions in complex dynamical systems is of critical importance to various applications. In this study, we propose the use of machine learning to d…
Stochastic Chaos and Predictability in Laboratory Earthquakes
Adriano Gualandi, Davide Faranda, Chris Marone +2
Laboratory earthquakes exhibit characteristics of a low dimensional random attractor with a dimension similar to that of natural slow earthquakes. A model of stochastic differentia…
Evaluation of post-hoc interpretability methods in time-series classification
Hugues Turbé, Mina Bjelogrlic, Christian Lovis +1
Post-hoc interpretability methods are critical tools to explain neural-network results. Several post-hoc methods have emerged in recent years, but when applied to a given task, the…
Non-modal analysis of spectral element methods: Towards accurate and robust large-eddy simulations
Pablo Fernandez, Rodrigo Moura, Gianmarco Mengaldo +1
We introduce a \textit{non-modal} analysis technique that characterizes the diffusion properties of spectral element methods for linear convection-diffusion systems. While strictly…