Publications associées à Méthode de la transformée inverse

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Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Méthode de la transformée inverse

Graph Chatbot

Chattez avec Graph Search

Semi-Markov model for simulating MOOC students

A Bayesian view of doubly robust causal inference

Nuclear overhauser spectroscopy of chiral CHD methylene groups

MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion

Random sampling of bandlimited signals on graphs

iSCHRUNK – in Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

Too much success for recent groundbreaking epigenetic experiments

Sparsity and Infinite Divisibility

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Kinematics of age mixing in advection-dispersion models

Kinematics of age mixing in advection-dispersion models

A Bayesian view of doubly robust causal inference

Too much success for recent groundbreaking epigenetic experiments

Semi-Markov model for simulating MOOC students

Random sampling of bandlimited signals on graphs

iSCHRUNK – in Silico Approach to Characterization and Reduction of Uncertainty in the Kinetic Models of Genome-scale Metabolic Networks

On the Unique Identification of Continuous-Time Autoregressive Models From Sampled Data

Nuclear overhauser spectroscopy of chiral CHD methylene groups

MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion

Sparsity and Infinite Divisibility