47 citations · 52 across the 7 of their papers we have counts for
7 papers
High-resolution eikonal imaging and uncertainty quantification of the Kilauea caldera
Angela F. Gao, John D. Wilding, Ettore Biondi +2
Images of the Earth's interior can provide us with insight into the underlying properties of the Earth, such as how seismic activity might emerge and the interplay between seismic…
Universal Functional Regression with Neural Operator Flows
Yaozhong Shi, Angela F. Gao, Zachary E. Ross +1
Regression on function spaces is typically limited to models with Gaussian process priors. We introduce the notion of universal functional regression, in which we aim to learn a pr…
Discovering Structure From Corruption for Unsupervised Image Reconstruction
Oscar Leong, Angela F. Gao, He Sun +1
We consider solving ill-posed imaging inverse problems without access to an image prior or ground-truth examples. An overarching challenge in these inverse problems is that an infi…
Image Reconstruction without Explicit Priors
Angela F. Gao, Oscar Leong, He Sun +1
We consider solving ill-posed imaging inverse problems without access to an explicit image prior or ground-truth examples. An overarching challenge in inverse problems is that ther…
Rapid Seismic Waveform Modeling and Inversion with Neural Operators
Yan Yang, Angela F. Gao, Kamyar Azizzadenesheli +2
Seismic waveform modeling is a powerful tool for determining earth structure models and unraveling earthquake rupture processes, but it is usually computationally expensive. We int…
Seismic wave propagation and inversion with Neural Operators
Yan Yang, Angela F. Gao, Jorge C. Castellanos +3
Seismic wave propagation forms the basis for most aspects of seismological research, yet solving the wave equation is a major computational burden that inhibits the progress of res…