ZG Ziv Goldfeld Cornell ECE

Publications

Preprints and papers under review

S. Dandapanthula, A. Podkopaev, S. Prasad Kasiviswanathan, A. Ramdas, and Z. Goldfeld,
“Optimal transportation and alignment between Gaussian measures”.
Submitted, December 2025.

S. Sreekumar, Z. Goldfeld, and M. Wilde,
“Performance guarantees for quantum neural estimation of entropies”.
Submitted, November 2025.

V. Karumanchi, G. Rioux, and Z. Goldfeld,
“Approximation analysis of the entropic penalty in quadratic programming”.
Submitted, September 2025.

G. Rioux, Z. Goldfeld, and K. Kato,
“Limit laws for Gromov-Wasserstein alignment with applications to testing graph isomorphisms”.
Submitted, October 2024.

R. Sadhu, Z. Goldfeld, and K. Kato,
“Limit distribution theory for the smooth 1-Wasserstein distance with applications”.
Preprint, February 2022.

Journal publications

T. Wang and Z. Goldfeld,
“Neural entropic Gromov-Wasserstein alignment”.
Accepted to the IEEE Transactions on Information Theory, January 2026.

S. Nietert, R. Cummings, and Z. Goldfeld,
“Robust estimation under the Wasserstein distance”.
Accepted to the Journal of Machine Learning Research, December 2025.

Z. Zhang, Z. Goldfeld, K. Greenewald, Y. Mroueh, B. K. Sriperumbudur,
“Gradient flows and Riemannian structure in the Gromov-Wasserstein geometry”.
Foundations of Computational Mathematics, pp. 1-93, July 2025.

H. He, C. L. Yu, and Z. Goldfeld,
“Information-theoretic generalization bounds for deep neural networks”.
IEEE Transactions on Information Theory, vol. 71, no. 8, pp. 6227-6247, August 2025.

R. Sadhu, Z. Goldfeld, and K. Kato,
“Approximation rates of entropic maps in semidiscrete optimal transport”.
Electronic Communications in Probability, vol. 30, pp. 1-13, March 2025.

R. Sadhu, Z. Goldfeld, and K. Kato,
“Stability and statistical inference for semidiscrete optimal transport maps”.
Annals of Applied Probability, vol. 34, no. 6, pp. 5694–5736, December 2024.

G. Rioux, Z. Goldfeld, and K. Kato,
“Entropic Gromov-Wasserstein distances: stability and algorithms”.
Journal of Machine Learning Research, vol. 25, iss. 363, pp. 1-52, October 2024.

Z. Zhang, Z. Goldfeld, Y. Mroueh, and B. K. Sriperumbudur,
“Gromov-Wasserstein distances: entropic regularization, duality, and sample complexity”.
Annals of Statistics, vol. 52, no. 4, pp. 1616–1645, May 2024.

T. Nuradha, Z. Goldfeld, and M. Wilde,
“Quantum Pufferfish Privacy: a flexible privacy framework for quantum systems”.
IEEE Transactions on Information Theory, vol. 70, no. 8, pp. 5731-5762, May 2024.

Z. Goldfeld, K. Kato, S. Nietert, and G. Rioux,
“Limit distribution theory for smooth p-Wasserstein distances”.
Annals of Applied Probability, vol. 34, no. 2, pp. 2447-2487, April 2024.

Z. Goldfeld, D. Patel, S. Sreekumar, and M. Wilde,
“Quantum neural estimation of entropies”.
Physical Review A, vol. 109, no. 3, March 2024.

Z. Goldfeld, K. Kato, G. Rioux, and R. Sadhu,
“Limit theorems for entropic optimal transport maps and the Sinkhorn divergence”.
Electronic Journal of Statistics, vol. 18, no. 1, pp. 980-1041, March 2024.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Data-driven optimization of directed information over discrete alphabets”.
IEEE Transactions on Information Theory, vol. 70, no. 3, pp. 1652-1670, March 2024.

Z. Goldfeld, K. Kato, G. Rioux, and R. Sadhu,
“Statistical inference with regularized optimal transport”.
Information and Inference, vol. 13, no. 1, February 2024.

S. Sreekumar, Z. Goldfeld, and K. Kato,
“Limit distribution theory for f-divergences”.
IEEE Transactions on Information Theory, vol. 70, no. 2, pp. 1233-1267, February 2024.

T. Nuradha and Z. Goldfeld,
“Pufferfish privacy: an information-theoretic study”.
IEEE Transactions on Information Theory, vol. 69, no. 11, pp. 7336-7356, November 2023.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Neural estimation and optimization of directed information over continuous spaces”.
IEEE Transactions on Information Theory, vol. 69, no. 8, pp. 4777-4798, August 2023.

S. Sreekumar and Z. Goldfeld,
“Neural estimation of statistical divergences”.
Journal of Machine Learning Research, vol. 23, iss. 126, pp. 1-75, March 2022.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model”.
IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1373-1399, March 2021.

S. Sreekumar, A. Bunin, Z. Goldfeld, H. H. Permuter, and S. Shamai,
“The secrecy capacity of cost-constrained wiretap channels”.
IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1433-1445, March 2021.

Z. Goldfeld, K. Greenewald, J. Niles-Weed, and Y. Polyanskiy,
“Convergence of smoothed empirical measures with applications to entropy estimation”.
IEEE Transactions on Information Theory, vol. 66, no. 7, pp. 4368-4391, July 2020.

Z. Goldfeld and Y. Polyanskiy,
“The information bottleneck problem and its applications in machine learning”.
IEEE Journal on Selected Areas in Information Theory Special Issue on Deep Learning: Mathematical Foundations and Applications to Information Science, vol. 1, no. 1, pp. 19-38, May 2020.
[Invited paper]

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Wiretap channels with random states non-causally available at the encoder”.
IEEE Transactions on Information Theory, vol. 66, no. 3, pp. 1497-1519, March 2020.

Z. Goldfeld and H. H. Permuter,
“Wiretap and Gelfand-Pinsker channels analogy and its applications”.
IEEE Transactions on Information Theory, vol. 65, no. 8, pp. 4979-4996, July 2019.

Z. Goldfeld and H. H. Permuter,
“MIMO Gaussian broadcast channels with common, private and confidential messages”.
IEEE Transactions on Information Theory, vol. 65, no. 4, pp. 2525-2544, April 2019.

A. Bunin, Z. Goldfeld, H. Permuter, S. Shamai, P. Cuff, P. Piantanida,
“Key and message semantic-security over state-dependent channels”.
IEEE Transactions on Information Forensics and Security, vol. 15, no. 1, pp. 1541-1556, July 2018.

Z. Goldfeld, G. Kramer, and H. H. Permuter,
“Broadcast channels with privacy leakage constraints”.
IEEE Transactions on Information Theory, vol. 63, no. 8, pp. 5138-5161, August 2017.

Z. Goldfeld, G. Kramer, H. H. Permuter, and P. Cuff,
“Strong secrecy for cooperative broadcast channels”.
IEEE Transactions on Information Theory, vol. 63, no. 1, pp. 469-495, January 2017.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Arbitrarily varying wiretap channels with type constrained states”.
IEEE Transactions on Information Theory, vol. 62, no. 12, pp. 7216-7244, September 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for wiretap channels of type II”.
IEEE Transactions on Information Theory, vol. 62, no. 7, pp. 3863-3879, July 2016.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Duality of a source coding problem and the semi-deterministic broadcast channel with rate-limited cooperation”.
IEEE Transactions on Information Theory, vol. 62, no. 5, pp. 2285-2307, May 2016.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“The finite-state MAC with cooperative encoders and delayed CSI”.
IEEE Transactions on Information Theory, vol. 60, no. 10, pp. 6181-6203, October 2014.

Conference and workshops

D. Tsur, Z. Goldfeld, K. Greenewald, H. H. Permuter,
“Neural estimation for scaling entropic multimarginal optimal transport”.
Submitted, October 2025.

S. Nietert and Z. Goldfeld,
“Robust estimation of stochastic optimal transport maps”.
Advances in Neural Information Processing Systems (NeurIPS), December 2025.

X. Gong, S. Nietert, and Z. Goldfeld,
“Robust alignment via partial Gromov-Wasserstein distances”.
IEEE International Symposium on Information Theory (ISIT), June 2025.

D. Tsur, Z. Goldfeld, K. Greenewald, H. H. Permuter,
“Neural entropic multimarginal optimal transport”.
Optimization for Machine Learning Workshop at NeurIPS (OPT), December 2024.

J. Wang and Z. Goldfeld,
“Differentially private Sinkhorn algorithm”.
Allerton Conference on Communication, Control, and Computing (Allerton), October 2024.

Z. Goldfeld, D. Patel, S. Sreekumar, and M. Wilde,
“Quantum neural estimation of entropies”.
Beyond IID in Information Theory Conference (BIID), July-August 2024.

S. Nietert, Z. Goldfeld, and S. Shafieezadeh-Abadeh,
“Robust estimation under local and global adversarial corruptions”.
Conference on Learning Theory (COLT), June-July 2024.

T. Wang and Z. Goldfeld,
“Neural estimation of entropic optimal transport”.
IEEE International Symposium on Information Theory (ISIT), July 2024.

H. He, C. L. Yu, and Z. Goldfeld,
“Hierarchical generalization bounds for deep neural networks”.
IEEE International Symposium on Information Theory (ISIT), July 2024.

D. Tsur, H. H. Permuter, and Z. Goldfeld,
“Several interpretations of max-sliced mutual information”.
IEEE International Symposium on Information Theory (ISIT), July 2024.

S. Nietert, Z. Goldfeld, and S. Shafieezadeh-Abadeh,
“Outlier-robust Wasserstein DRO”.
Advances in Neural Information Processing Systems (NeurIPS), December 2023.

D. Tsur, Z. Goldfeld, K. Greenewald,
“Max-sliced mutual information”.
Advances in Neural Information Processing Systems (NeurIPS), December 2023.

T. Nuradha, Z. Goldfeld, and M. M. Wilde,
“Quantum pufferfish privacy: a flexible privacy framework for quantum systems”.
Beyond IID in Information Theory Conference (BIID), July-August 2023.

S. Sreekumar, Z. Goldfeld, and K. Kato,
“Limit distribution theory for KL divergence and applications to auditing differential privacy”.
IEEE International Symposium on Information Theory (ISIT), June 2023.

Z. Goldfeld, K. Greenewald, T. Nuradha, and G. Reeves,
“k-Sliced mutual information: a quantitative study of scalability with dimension”.
Advances in Neural Information Processing Systems (NeurIPS), December 2022.

S. Nietert, R. Sadhu, Z. Goldfeld, and K. Kato,
“Statistical, robustness, and computational guarantees for sliced Wasserstein distances”.
Advances in Neural Information Processing Systems (NeurIPS), December 2022.

T. Nuradha and Z. Goldfeld,
“An information-theoretic characterization of Pufferfish Privacy”.
IEEE International Symposium on Information Theory (ISIT), June-July 2022.

N. Raviv and Z. Goldfeld,
“Perfect subset privacy for data sharing and learning”.
IEEE International Symposium on Information Theory (ISIT), June-July 2022.

D. Tsur, Z. Aharoni, Z. Goldfeld, and H. H. Permuter,
“Optimizing estimated directed information over discrete alphabets”.
IEEE International Symposium on Information Theory (ISIT), June-July 2022.

S. Nietert, R. Cummings, and Z. Goldfeld,
“Outlier-robust optimal transport: duality, structure, and statistical analysis”.
International Conference on Artificial Intelligence and Statistics (AISTATS), March 2022.

Z. Zhang, Y. Mroueh, Z. Goldfeld, and B. K. Sriperumbudur,
“Cycle consistent probability divergences across different spaces”.
International Conference on Artificial Intelligence and Statistics (AISTATS), March 2022.

Z. Goldfeld and K. Greenewald,
“Sliced mutual information: a scalable measure of statistical dependence”.
Advances in Neural Information Processing Systems (NeurIPS), December 2021.
[Spotlight]

S. Nietert, R. Cummings, and Z. Goldfeld,
“Outlier-robust optimal transport with applications to generative modeling and data privacy”.
Theory and Practice of Differential Privacy Workshop at ICML (TPDP), July 2021.

S. Nietert, Z. Goldfeld, and K. Kato,
“Smooth p-Wasserstein distance: structure, empirical approximation, and statistical applications”.
International Conference on Machine Learning (ICML), July 2021.

S. Sreekumar and Z. Goldfeld,
“Soft-covering for constant-composition superposition codes”.
IEEE International Symposium on Information Theory (ISIT), July 2021.

J. de Dieu Mutangana, R. Tandon, Z. Goldfeld, and S. Shamai,
“Wiretap channel with latent variable secrecy”.
IEEE International Symposium on Information Theory (ISIT), July 2021.

S. Sreekumar, Z. Zhang, and Z. Goldfeld,
“Non-asymptotic performance guarantees for neural estimation of f-divergences”.
International Conference on Artificial Intelligence and Statistics (AISTATS), April 2021.

Z. Goldfeld, K. Greenewald, and K. Kato,
“Asymptotic guarantees for generative modeling based on the smooth Wasserstein distance”.
Advances in Neural Information Processing Systems (NeurIPS), December 2020.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in interacting particle systems”.
Beyond IID in Information Theory Conference (BIID), November 2020.

Z. Goldfeld and K. Greenewald,
“Gaussian-smoothed optimal transport: metric structure and statistical efficiency”.
International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 108, pp. 3327-3337, August 2020.

Z. Goldfeld and K. Kato,
“Limit distribution for smooth total variation and 𝛘²-divergence in high dimensions”.
IEEE International Symposium on Information Theory (ISIT), June 2020.

Z. Aharoni, D. Tsur, Z. Goldfeld, and H. H. Permuter,
“Capacity of continuous channels with memory via directed information neural estimator”.
IEEE International Symposium on Information Theory (ISIT), June 2020.

Z. Goldfeld, K. Greenewald, J. Weed, and Y. Polyanskiy,
“Optimality of the plug-in estimator for differential entropy estimation under Gaussian convolutions”.
IEEE International Symposium on Information Theory (ISIT), July 2019.

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model at low temperature”.
IEEE International Symposium on Information Theory (ISIT), July 2019.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
International Conference on Machine Learning (ICML), vol. 97, pp. 2299-2308, June 2019. [Supplement][Poster] [Video (Start: 34th min)]

Z. Goldfeld, K. Greenewald, Y. Polyanskiy, and Y. Wu,
“Differential entropy estimation under Gaussian noise”.
IEEE International Conference on the Science of Electrical Engineering (ICSEE), December 2018.

Z. Goldfeld, E. van den Berg, K. Greenewald, I. Melnyk, N. Nguyen, B. Kingsbury, and Y. Polyanskiy,
“Estimating information flow in deep neural networks”.
Allerton Conference on Communication, Control, and Computing (Allerton), October 2018.
[Invited]

Z. Goldfeld, G. Bresler, and Y. Polyanskiy,
“Information storage in the stochastic Ising model at zero temperature”.
IEEE International Symposium on Information Theory (ISIT), June 2018.

Z. Goldfeld and H. H. Permuter,
“A useful analogy between wiretap and Gelfand-Pinsker channels”.
IEEE International Symposium on Information Theory (ISIT), June 2018.

W. Huleihel, Z. Goldfeld, T. Koch, M. Madiman, and M. Medard,
“Design of discrete constellations for peak-power-limited complex Gaussian channels”.
IEEE International Symposium on Information Theory (ISIT), June 2018.

A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, P. Cuff, and P. Piantanida,
“Key-message security over state-dependent wiretap channels”.
IEEE International Symposium on Information Theory (ISIT), June 2018.

Z. Goldfeld and H. H. Permuter,
“Wiretap and Gelfand-Pinsker channels analogy and its applications”.
International Zurich Seminar on Information and Communication (IZS), March 2018.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Physical layer security over wiretap channels with random parameters”.
International Symposium on Cyber Security Cryptography and Machine Learning (CSCML), June 2017.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“The Gelfand-Pinsker wiretap channel: strictly higher secrecy rates via a novel superposition code”.
IEEE International Symposium on Information Theory (ISIT), June 2017.

A. Bunin, Z. Goldfeld, H. H. Permuter, S. Shamai, P. Cuff, and P. Piantanida,
“Semantically-secured message-key trade-off over wiretap channels with random parameters”.
Workshop on Communication Security affiliated with EUROCRYPT, April 2017.
[Invited]

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Arbitrarily varying wiretap channels with type constrained states”.
IEEE GLOBECOM Workshop on Physical Layer Security, December 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Wiretap channels with random states non-causally available at the encoder”.
IEEE International Conference on the Science of Electrical Engineering (ICSEE), November 2016.

Z. Goldfeld,
“MIMO Gaussian broadcast channels with common, private and confidential messages”.
IEEE Information Theory Workshop (ITW), September 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for wiretap channels of type II”.
IEEE International Symposium on Information Theory (ISIT), July 2016.

Z. Goldfeld, P. Cuff, and H. H. Permuter,
“Semantic-security capacity for the physical layer via information theory”.
IEEE International Conference on Software Science, Technology, and Engineering (SwSTE), June 2016.

Z. Goldfeld, G. Kramer, H. H. Permuter, and P. Cuff,
“Strong-secrecy for cooperative broadcast channels”.
International Zurich Seminar on Information and Communication (IZS), March 2016.

Z. Goldfeld, G. Kramer, and H. H. Permuter,
“Cooperative broadcast channels with a secret message”.
IEEE International Symposium on Information Theory (ISIT), June 2015.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Broadcast channels with cooperation: capacity and duality for the semi-deterministic case”.
IEEE Information Theory Workshop (ITW), May 2015.

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“Semi-deterministic broadcast channels with cooperation”.
IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI), December 2014.
[Best student paper award]

Z. Goldfeld, H. H. Permuter, and G. Kramer,
“The Ahlswede-Korner coordination problem with one-sided encoder cooperation”.
IEEE International Symposium on Information Theory (ISIT), June-July 2014.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“The diagonal vector Gaussian finite state MAC with cooperative encoders and delayed CSI”.
IEEE Convention of Electrical and Electronics Engineers in Israel (IEEEI), November 2012.

Z. Goldfeld, H. H. Permuter, and B. M. Zaidel,
“Capacity region of finite state MAC with cooperative encoders and delayed CSI”.
IEEE International Symposium on Information Theory (ISIT), July 2012.