79 citations · 123 across the 5 of their papers we have counts for
5 papers
Finite-Budget Convergence and Chaos-Aware Stopping Criteria for Time-Parallel Methods
Giancarlo Antonino Antonucci, Raphael Andreas Hauser, Debasmita Samaddar +1
Time-parallel algorithms, such as Parareal, are well understood for linear problems, but their convergence analysis for nonlinear, chaotic systems remains limited. This paper intro…
Loss Landscape Engineering via Data Regulation on PINNs
Vignesh Gopakumar, Stanislas Pamela, Debasmita Samaddar
Physics-Informed Neural Networks have shown unique utility in parameterising the solution of a well-defined partial differential equation using automatic differentiation and residu…
Stochastic parareal: an application of probabilistic methods to time-parallelisation
Kamran Pentland, Massimiliano Tamborrino, D. Samaddar +1
Parareal is a well-studied algorithm for numerically integrating systems of time-dependent differential equations by parallelising the temporal domain. Given approximate initial va…
Classification of chaotic time series with deep learning
Nicolas Boullé, Vassilios Dallas, Yuji Nakatsukasa +1
We use standard deep neural networks to classify univariate time series generated by discrete and continuous dynamical systems based on their chaotic or non-chaotic behaviour. Our…
HST search for M subdwarf binaries
Basmah Riaz, John E. Gizis, Debasmita Samaddar
We present HST/ACS observations of 19 nearby M subdwarfs in a search for binary systems. Other than the wide common proper motion pair LHS 2140/2139, none of our sdM and esdM targe…