552 citations · 1.9k across the 19 of their papers we have counts for
4 papers · 1 filter
Generative Adversarial Neural Operators
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar +2
We propose the generative adversarial neural operator (GANO), a generative model paradigm for learning probabilities on infinite-dimensional function spaces. The natural sciences a…
U-NO: U-shaped Neural Operators
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
Neural operators generalize classical neural networks to maps between infinite-dimensional spaces, e.g., function spaces. Prior works on neural operators proposed a series of novel…
Extracting dispersion curves from ambient noise correlations using deep learning
Xiaotian Zhang, Zhe Jia, Zachary E. Ross +1
We present a machine-learning approach to classifying the phases of surface wave dispersion curves. Standard FTAN analysis of surfaces observed on an array of receivers is converte…
PhaseLink: A Deep Learning Approach to Seismic Phase Association
Zachary E. Ross, Yisong Yue, Men-Andrin Meier +2
Seismic phase association is a fundamental task in seismology that pertains to linking together phase detections on different sensors that originate from a common earthquake. It is…