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09/15/2023
Deep Nonnegative Matrix Factorization with Beta Divergences
Deep Nonnegative Matrix Factorization (deep NMF) has recently emerged as...
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01/20/2023
State-constrained Optimization Problems under Uncertainty: A Tensor Train Approach
We propose an algorithm to solve optimization problems constrained by pa...
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11/09/2021
TTRISK: Tensor Train Decomposition Algorithm for Risk Averse Optimization
This article develops a new algorithm named TTRISK to solve high-dimensi...
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06/24/2021
Optimal Control, Numerics, and Applications of Fractional PDEs
This article provides a brief review of recent developments on two nonlo...
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02/08/2021
Novel Deep neural networks for solving Bayesian statistical inverse
We consider the simulation of Bayesian statistical inverse problems gove...
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08/30/2019