Zachary E. Ross

According to our database, Zachary E. Ross authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Mesh-Informed Neural Operator : A Transformer Generative Approach.

Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli

CoRR, June, 2025

Ambient Noise Full Waveform Inversion with Neural Operators.

Caifeng Zou, Zachary E. Ross, Robert W. Clayton, Fan-Chi Lin, Kamyar Azizzadenesheli

CoRR, March, 2025

Stochastic Process Learning via Operator Flow Matching.

Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli

CoRR, January, 2025

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, Nikola Borislavov Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Universal Functional Regression with Neural Operator Flows.

Yaozhong Shi, Angela F. Gao, Zachary E. Ross, Kamyar Azizzadenesheli

Trans. Mach. Learn. Res., 2024

2023

U-NO: U-shaped Neural Operators.

Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli

Trans. Mach. Learn. Res., 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

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

2022

Generative Adversarial Neural Operators.

Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli

Trans. Mach. Learn. Res., 2022

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

2021

EikoNet: Solving the Eikonal Equation With Deep Neural Networks.

Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross

IEEE Trans. Geosci. Remote. Sens., 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

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

DeepGEM: Generalized Expectation-Maximization for Blind Inversion.

Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

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

2019

Directivity Modes of Earthquake Populations with Unsupervised Learning.

Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar

CoRR, 2019

2018

PhaseLink: A Deep Learning Approach to Seismic Phase Association.

Zachary E. Ross, Yisong Yue, Men-Andrin Meier, Egill Hauksson, Thomas H. Heaton

CoRR, 2018