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05/22/2023
On improving the efficiency of ADER methods
The (modern) arbitrary derivative (ADER) approach is a popular technique...
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03/22/2023
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality
A novel Policy Gradient (PG) algorithm, called Matryoshka Policy Gradien...
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10/30/2022
A new variable shape parameter strategy for RBF approximation using neural networks
The choice of the shape parameter highly effects the behaviour of radial...
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07/19/2021
Reconstruction of the Density Power Spectrum from Quasar Spectra using Machine Learning
We describe a novel end-to-end approach using Machine Learning to recons...
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05/27/2020
An arbitrary high-order Spectral Difference method for the induction equation
We study in this paper three variants of the high-order Discontinuous Ga...
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02/26/2020
DeC and ADER: Similarities, Differences and a Unified Framework
In this paper, we demonstrate that the ADER approach as it is used inter...
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02/26/2020
DeC and ADER: Similarities, Differences and an Unified Framework
In this paper, we demonstrate that the ADER approach as it is used inter...
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12/19/2019
Neural network based limiter with transfer learning
A neural network is trained using simulation data from a Runge Kutta dis...
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01/09/2019
What do Language Representations Really Represent?
A neural language model trained on a text corpus can be used to induce d...
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03/15/2018