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12/27/2021
Sparsest Univariate Learning Models Under Lipschitz Constraint
Beside the minimization of the prediction error, two of the most desirab...
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12/12/2021
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total-Variation
In this paper, we introduce the Hessian-Schatten total-variation (HTV) –...
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12/16/2020
Shortest Multi-Spline Bases for Generalized Sampling
Generalized sampling consists in the recovery of a function f, from the ...
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08/07/2020
Generating Sparse Stochastic Processes Using Matched Splines
We provide an algorithm to generate trajectories of sparse stochastic pr...
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03/25/2020
Wavelet Compressibility of Compound Poisson Processes
In this paper, we characterize the wavelet compressibility of compound P...
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01/17/2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
We introduce a variational framework to learn the activation functions o...
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11/02/2018