1 citations · 1 across the 1 of their papers we have counts for
5 papers
Profiling checkpointing schedules in adjoint ST-AD
Laurent Hascoët, Jean-Luc Bouchot, Shreyas Sunil Gaikwad +2
Checkpointing is a cornerstone of data-flow reversal in adjoint algorithmic differentiation. Checkpointing is a storage/recomputation trade-off that can be applied at different lev…
Weighted block compressed sensing for parametrized function approximation
Jean-Luc Bouchot
In this paper we extend results taken from compressed sensing to recover Hilbert-space valued vectors. This is an important problem in parametric function approximation in particul…
Multi-level Compressed Sensing Petrov-Galerkin discretization of high-dimensional parametric PDEs
Jean-Luc Bouchot, Holger Rauhut, Christoph Schwab
We analyze a novel multi-level version of a recently introduced compressed sensing (CS) Petrov-Galerkin (PG) method from [H. Rauhut and Ch. Schwab: Compressive Sensing Petrov-Galer…
Local sparsity and recovery of fusion frames structured signals
Roza Aceska, Jean-Luc Bouchot, Shidong Li
The problem of recovering signals of high complexity from low quality sensing devices is analyzed via a combination of tools from signal processing and harmonic analysis. By using…
Stability and Robustness of RBF Interpolation
Jean-Luc Bouchot, Keaton Hamm
We consider how some methods of uniform and nonuniform interpolation by translates of radial basis functions -- specifically the so-called general multiquadrics -- perform in the p…