Ziv Goldfeld

Ziv Goldfeld is an Associate Professor in the Department of Electrical Engineering at Cornell University. His research interests are not explicitly detailed in the provided information. Goldfeld's profile page is available at https://www.duffield.cornell.edu/people/ziv-goldfeld/, and he can be contacted via email at goldfeld@cornell.edu.

Ziv Goldfeld is a researcher at Cornell University specializing in information theory, optimal transport, and mathematical statistics. His work explores the intersection of these fields, focusing on information flow in deep neural networks, statistical inference with regularized optimal transport, and the development of scalable measures of statistical dependence such as sliced mutual information. Goldfeld's research also addresses robustness in optimal transport, including outlier-robust Wasserstein distances and their statistical analysis. His contributions span both theoretical and applied aspects, with applications in machine learning, communication systems, and privacy frameworks for quantum systems.