PhaseLink: A Deep Learning Approach to Seismic Phase Association. - Zachary E. Ross; Yisong Yue; Men-Andrin Meier; Egill Hauksson; Thomas H. Heaton (CoRR, 2018)

Directivity Modes of Earthquake Populations with Unsupervised Learning. - Zachary E. Ross; Daniel T. Trugman; Kamyar Azizzadenesheli; Anima Anandkumar (CoRR, 2019)

Data-driven Accelerogram Synthesis using Deep Generative Models. - Manuel A. Florez; Michaelangelo Caporale; Pakpoom Buabthong; Zachary E. Ross; Domniki Asimaki; Men-Andrin Meier (CoRR, 2020)

Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning. - Xiaotian Zhang; Zhe Jia; Zachary E. Ross; Robert W. Clayton (IEEE Trans. Geosci. Remote. Sens., 2020)

DeepGEM: Generalized Expectation-Maximization for Blind Inversion. - Angela F. Gao; Jorge C. Castellanos; Yisong Yue; Zachary E. Ross; Katherine L. Bouman (NeurIPS, 2021)

HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks. - Jonathan D. Smith; Zachary E. Ross; Kamyar Azizzadenesheli; Jack B. Muir (CoRR, 2021)

Seismic wave propagation and inversion with Neural Operators. - Yan Yang; Angela F. Gao; Jorge C. Castellanos; Zachary E. Ross; Kamyar Azizzadenesheli; Robert W. Clayton (CoRR, 2021)

EikoNet: Solving the Eikonal Equation With Deep Neural Networks. - Jonathan D. Smith; Kamyar Azizzadenesheli; Zachary E. Ross (IEEE Trans. Geosci. Remote. Sens., 2021)

Deep Learning-Based Damage Mapping With InSAR Coherence Time Series. - Oliver L. Stephenson; Tobias Köhne; Eric Zhan; Brent E. Cahill; Sang-Ho Yun; Zachary E. Ross; Mark Simons (IEEE Trans. Geosci. Remote. Sens., 2022)

Generative Adversarial Neural Operators. - Md Ashiqur Rahman; Manuel A. Florez; Anima Anandkumar; Zachary E. Ross; Kamyar Azizzadenesheli (Trans. Mach. Learn. Res., 2022)

Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation. - Yaozhong Shi; Grigorios Lavrentiadis; Domniki Asimaki; Zachary E. Ross; Kamyar Azizzadenesheli (CoRR, 2023)

Rapid Seismic Waveform Modeling and Inversion With Neural Operators. - Yan Yang; Angela F. Gao; Kamyar Azizzadenesheli; Robert W. Clayton; Zachary E. Ross (IEEE Trans. Geosci. Remote. Sens., 2023)

U-NO: U-shaped Neural Operators. - Md Ashiqur Rahman; Zachary E. Ross; Kamyar Azizzadenesheli (Trans. Mach. Learn. Res., 2023)

Universal Functional Regression with Neural Operator Flows. - Yaozhong Shi; Angela F. Gao; Zachary E. Ross; Kamyar Azizzadenesheli (Trans. Mach. Learn. Res., 2024)

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. - Hongkai Zheng; Wenda Chu; Bingliang Zhang; Zihui Wu; Austin Wang; Berthy Feng; Caifeng Zou; Yu Sun 022; Nikola Borislavov Kovachki; Zachary E. Ross; Katherine L. Bouman; Yisong Yue (ICLR, 2025)

Stochastic Process Learning via Operator Flow Matching. - Yaozhong Shi; Zachary E. Ross; Domniki Asimaki; Kamyar Azizzadenesheli (CoRR, 2025)

Ambient Noise Full Waveform Inversion with Neural Operators. - Caifeng Zou; Zachary E. Ross; Robert W. Clayton; Fan-Chi Lin; Kamyar Azizzadenesheli (CoRR, 2025)

Mesh-Informed Neural Operator : A Transformer Generative Approach. - Yaozhong Shi; Zachary E. Ross; Domniki Asimaki; Kamyar Azizzadenesheli (CoRR, 2025)