Farzan Farnia

553 total citations
19 papers, 162 citations indexed

About

Farzan Farnia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Farzan Farnia has authored 19 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Farzan Farnia's work include Adversarial Robustness in Machine Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Neural Networks and Applications (3 papers). Farzan Farnia is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Neural Networks and Applications (3 papers). Farzan Farnia collaborates with scholars based in United States, Hong Kong and Iran. Farzan Farnia's co-authors include David Tse, Ayfer Özgür, Asuman Ozdaglar, Ramtin Pedarsani, Amirhossein Reisizadeh, Ali Jadbabaie, Soheil Feizi, S. Jamaloddin Golestani, Subhro Das and Guojin Chen and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, arXiv (Cornell University) and eScholarship (California Digital Library).

In The Last Decade

Farzan Farnia

16 papers receiving 157 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Farzan Farnia United States	8	77	67	40	20	10	19	162
Ron Levie Israel	6	51 0.7×	54 0.8×	28 0.7×	14 0.7×	6 0.6×	14	127
Dongruo Zhou United States	6	150 1.9×	21 0.3×	49 1.2×	15 0.8×	22 2.2×	10	208
Xinyi Xu China	9	72 0.9×	32 0.5×	72 1.8×	12 0.6×	2 0.2×	17	175
Ishan Durugkar United States	5	73 0.9×	14 0.2×	29 0.7×	6 0.3×	5 0.5×	9	117
Mohammad Samragh United States	9	170 2.2×	116 1.7×	56 1.4×	26 1.3×	2 0.2×	23	264
Yanyao Shen China	8	63 0.8×	87 1.3×	44 1.1×	99 5.0×	2 0.2×	10	201
Liam Li	2	65 0.8×	12 0.2×	30 0.8×	6 0.3×	3 0.3×	3	127
Zheng Zhan United States	7	66 0.9×	43 0.6×	83 2.1×	28 1.4×	2 0.2×	22	167
Peiyan Dong United States	10	76 1.0×	81 1.2×	69 1.7×	17 0.8×	1 0.1×	25	214
Joshua Bassey United States	5	74 1.0×	79 1.2×	41 1.0×	134 6.7×	2 0.2×	6	208

Countries citing papers authored by Farzan Farnia

Since Specialization

Citations

This map shows the geographic impact of Farzan Farnia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Farzan Farnia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farzan Farnia more than expected).

Fields of papers citing papers by Farzan Farnia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farzan Farnia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Farzan Farnia. The network helps show where Farzan Farnia may publish in the future.

Co-authorship network of co-authors of Farzan Farnia

This figure shows the co-authorship network connecting the top 25 collaborators of Farzan Farnia. A scholar is included among the top collaborators of Farzan Farnia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Farzan Farnia. Farzan Farnia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Jalali, Mohammad S., et al.. (2025). Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach. 8269–8278.

Zhao, Wenqian, et al.. (2024). ChatPattern: Layout Pattern Customization via Natural Language. 1–6. 3 indexed citations

Bogdanov, Andrej, et al.. (2024). Towards a Scalable Reference-Free Evaluation of Generative Models. 120892–120927.

Farnia, Farzan, et al.. (2023). GAT–GMM: Generative Adversarial Training for Gaussian Mixture Models. SIAM Journal on Mathematics of Data Science. 5(1). 122–146. 3 indexed citations

Farnia, Farzan, et al.. (2023). Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations. 1–5. 6 indexed citations

Zhang, Jingwei & Farzan Farnia. (2023). MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope. 30. 2021–2030.

Zhao, Wenqian, et al.. (2023). DiffPattern: Layout Pattern Generation via Discrete Diffusion. 1–6. 7 indexed citations

Farnia, Farzan, Amirhossein Reisizadeh, Ramtin Pedarsani, & Ali Jadbabaie. (2022). An Optimal Transport Approach to Personalized Federated Learning. IEEE Journal on Selected Areas in Information Theory. 3(2). 162–171. 16 indexed citations

Reisizadeh, Amirhossein, Farzan Farnia, Ramtin Pedarsani, & Ali Jadbabaie. (2020). Robust Federated Learning: The Case of Affine Distribution Shifts. eScholarship (California Digital Library). 33. 21554–21565. 2 indexed citations

10.

Farnia, Farzan & Asuman Ozdaglar. (2020). Do GANs always have Nash equilibria. International Conference on Machine Learning. 3029–3039. 13 indexed citations

11.

Feizi, Soheil, et al.. (2020). Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. IEEE Journal on Selected Areas in Information Theory. 1(1). 304–311. 13 indexed citations

12.

Farnia, Farzan, et al.. (2020). A Fourier-Based Approach to Generalization and Optimization in Deep Learning. IEEE Journal on Selected Areas in Information Theory. 1(1). 145–156. 3 indexed citations

13.

Farnia, Farzan, et al.. (2018). Generalizable Adversarial Training via Spectral Normalization.. arXiv (Cornell University). 11 indexed citations

14.

Farnia, Farzan & David Tse. (2018). A Convex Duality Framework for GANs. arXiv (Cornell University). 31. 5248–5258. 11 indexed citations

15.

Farnia, Farzan, Jesse Zhang, & David Tse. (2018). A Spectral Approach to Generalization and Optimization in Neural Networks. 1 indexed citations

16.

Farnia, Farzan & David Tse. (2016). A minimax approach to supervised learning. Neural Information Processing Systems. 29. 4240–4248. 17 indexed citations

17.

Farnia, Farzan, et al.. (2015). Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication. IEEE Journal on Selected Areas in Communications. 33(3). 540–557. 53 indexed citations

18.

Farnia, Farzan, Meisam Razaviyayn, Sreeram Kannan, & David Tse. (2015). Minimum HGR correlation principle: From marginals to joint distribution. 2. 1377–1381. 1 indexed citations

19.

Farnia, Farzan & S. Jamaloddin Golestani. (2013). Asymptotic behavior of network capacity under spatial network coding. 2434–2439. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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