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Generalized Kernel-Based Dynamic Mode Decomposition
Reduced modeling in high-dimensional reproducing kernel Hilbert spaces o...
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Low-rank Approximation of Linear Maps
This work provides closed-form solutions and minimal achievable errors f...
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Adapting Reduced Models in the Cross-Entropy Method
This paper deals with the estimation of rare event probabilities using i...
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Optimal Kernel-Based Dynamic Mode Decomposition
The state-of-the-art algorithm known as kernel-based dynamic mode decomp...
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Optimal Low-Rank Dynamic Mode Decomposition
Dynamic Mode Decomposition (DMD) has emerged as a powerful tool for anal...
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Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial-Time
This work studies the linear approximation of high-dimensional dynamical...
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Reduced-Order Modeling Of Hidden Dynamics
The objective of this paper is to investigate how noisy and incomplete o...
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An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model
In this work, we propose a novel procedure for video super-resolution, t...
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Supervised learning on graphs of spatio-temporal similarity in satellite image sequences
High resolution satellite image sequences are multidimensional signals c...
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