Zachary E. Ross

28 papers A* 2Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation. CoRR Caifeng Zou, Yaozhong Shi, Zachary E. Ross, Robert W. Clayton, Kamyar Azizzadenesheli
2026	J	`jnl`	Large-Scale 3D Ground-Motion Synthesis with Physics-Inspired Latent Operator Flow Matching. CoRR Yaozhong Shi, Grigorios Lavrentiadis, Konstantinos Tsalouchidis, Zachary E. Ross, David McCallen, Caifeng Zou, Kamyar Azizzadenesheli, Domniki Asimaki
2025	J	`jnl`	Ambient Noise Full Waveform Inversion with Neural Operators. CoRR Caifeng Zou, Zachary E. Ross, Robert W. Clayton, Fan-Chi Lin, Kamyar Azizzadenesheli
2025	A*	`conf`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. ICLR 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
2025	J	`jnl`	InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences. CoRR Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy T. Feng, Caifeng Zou, Yu Sun, Nikola B. Kovachki, Zachary E. Ross, Katherine L. Bouman, Yisong Yue
2025	J	`jnl`	Mesh-Informed Neural Operator : A Transformer Generative Approach. CoRR Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli
2025	J	`jnl`	Mesh-Informed Neural Operator : A Transformer Generative Approach. Trans. Mach. Learn. Res. Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli
2025	J	`jnl`	Stochastic Process Learning via Operator Flow Matching. CoRR Yaozhong Shi, Zachary E. Ross, Domniki Asimaki, Kamyar Azizzadenesheli
2024	J	`jnl`	Universal Functional Regression with Neural Operator Flows. CoRR Yaozhong Shi, Angela F. Gao, Zachary E. Ross, Kamyar Azizzadenesheli
2024	J	`jnl`	Universal Functional Regression with Neural Operator Flows. Trans. Mach. Learn. Res. Yaozhong Shi, Angela F. Gao, Zachary E. Ross, Kamyar Azizzadenesheli
2023	J	`jnl`	Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation. CoRR Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, Zachary E. Ross, Kamyar Azizzadenesheli
2023	J	`jnl`	Rapid Seismic Waveform Modeling and Inversion With Neural Operators. IEEE Trans. Geosci. Remote. Sens. Yan Yang, Angela F. Gao, Kamyar Azizzadenesheli, Robert W. Clayton, Zachary E. Ross
2023	J	`jnl`	U-NO: U-shaped Neural Operators. Trans. Mach. Learn. Res. Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
2022	J	`jnl`	Deep Learning-Based Damage Mapping With InSAR Coherence Time Series. IEEE Trans. Geosci. Remote. Sens. Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons
2022	J	`jnl`	Generative Adversarial Neural Operators. CoRR Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
2022	J	`jnl`	Generative Adversarial Neural Operators. Trans. Mach. Learn. Res. Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
2022	J	`jnl`	U-NO: U-shaped Neural Operators. CoRR Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
2021	J	`jnl`	Deep Learning-based Damage Mapping with InSAR Coherence Time Series. CoRR Oliver L. Stephenson, Tobias Köhne, Eric Zhan, Brent E. Cahill, Sang-Ho Yun, Zachary E. Ross, Mark Simons
2021	A*	`conf`	DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman
2021	J	`jnl`	EikoNet: Solving the Eikonal Equation With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
2021	J	`jnl`	HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks. CoRR Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli, Jack B. Muir
2021	J	`jnl`	Seismic wave propagation and inversion with Neural Operators. CoRR Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton
2020	J	`jnl`	Data-driven Accelerogram Synthesis using Deep Generative Models. CoRR Manuel A. Florez, Michaelangelo Caporale, Pakpoom Buabthong, Zachary E. Ross, Domniki Asimaki, Men-Andrin Meier
2020	J	`jnl`	EikoNet: Solving the Eikonal equation with Deep Neural Networks. CoRR Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
2020	J	`jnl`	Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning. IEEE Trans. Geosci. Remote. Sens. Xiaotian Zhang, Zhe Jia, Zachary E. Ross, Robert W. Clayton
2020	J	`jnl`	Extracting dispersion curves from ambient noise correlations using deep learning. CoRR Xiaotian Zhang, Zhe Jia, Zachary E. Ross, Robert W. Clayton
2019	J	`jnl`	Directivity Modes of Earthquake Populations with Unsupervised Learning. CoRR Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar
2018	J	`jnl`	PhaseLink: A Deep Learning Approach to Seismic Phase Association. CoRR Zachary E. Ross, Yisong Yue, Men-Andrin Meier, Egill Hauksson, Thomas H. Heaton

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.