Phase association groups seismic wave arrivals according to their origin...
Recently there has been great interest in operator learning, where netwo...
Since their first introduction, score-based diffusion models (SDMs) have...
Unsupervised source separation involves unraveling an unknown set of sou...
We build universal approximators of continuous maps between arbitrary Po...
Source separation entails the ill-posed problem of retrieving a set of s...
In this work, we present an analysis of the generalization of Neural
Ope...
The term `surrogate modeling' in computational science and engineering r...
We study the Bayesian inverse problem of learning a linear operator on a...
Wave propagation in real media is affected by various non-trivial physic...
We develop a theoretical analysis for special neural network architectur...
When a rock is subjected to stress it deforms by creep mechanisms that
i...
We develop a new learning-based approach to ill-posed inverse problems.
...