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Found 4 papers, 1 papers with code
Quantum Theory and Application of Contextual Optimal Transport
In cases where paired data measurements ($\mu$, $\nu$) are coupled to a context variable $p_i$ , one may aspire to learn a global transportation map that can be parameterized through a potentially unseen con-text.
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection
Many real-world monitoring and surveillance applications require non-trivial anomaly detection to be run in the streaming model.
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
In tracking of time-varying low-rank models of time-varying matrices, we present a method robust to both uniformly-distributed measurement noise and arbitrarily-distributed ``sparse'' noise.
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images
The prediction phase consists of utilizing a linear transport equation, which describes the propagation of COD images in the fluid flow predicted by NSE, to estimate the future motion of the COD images.
