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Found 2 papers, 1 papers with code
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
We propose conditional flows of the maximum mean discrepancy (MMD) with the negative distance kernel for posterior sampling and conditional generative modeling.
Super-Resolution for Doubly-Dispersive Channel Estimation
In this work we consider the problem of identification and reconstruction of doubly-dispersive channel operators which are given by finite linear combinations of time-frequency shifts.
Super-Resolution
Information Theory
Numerical Analysis
Information Theory
Numerical Analysis
47A62, 65R30, 65T99, 94A20
