Scholar
Farzan Farnia
Google Scholar ID: GYPCqcYAAAAJ
Assistant Professor, Chinese University of Hong Kong
Machine Learning
Optimization
Information Theory
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Citations & Impact
All-time
Citations
1,200
H-index
13
i10-index
17
Publications
20
Co-authors
14
list available
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Publications
29 items
DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models
2026
Cited
0
When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
2026
Cited
0
Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error
2026
Cited
0
PromptSplit: Revealing Prompt-Level Disagreement in Generative Models
2026
Cited
0
The Maximum von Neumann Entropy Principle: Theory and Applications in Machine Learning
2026
Cited
0
On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations
2026
Cited
0
Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
2026
Cited
0
Consistency Flow Model Achieves One-step Denoising Error Correction Codes
2025
Cited
0
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Resume (English only)
Academic Achievements
F. Farnia, A. Ozdaglar, “Train simultaneously, generalize better: Stability of gradient-based minimax learners”, ICML 2021
A. Reisizadeh*, F. Farnia*, R. Pedarsani, A. Jadbabaie, “Robust Federated Learning: The Case of Affine Distribution Shifts”, NeurIPS 2020
F. Farnia, A. Ozdaglar, “Do GANs always have Nash equilibria?”, ICML 2020
F. Farnia, D. Tse, “A Convex Duality Framework for GANs”, NeurIPS 2018
F. Farnia, D. Tse, “A Minimax Approach to Supervised Learning”, NeurIPS 2016
Co-authors
14 total
Co-author 1
Ali Jadbabaie
JR East Professor of Engineering, MIT
Asuman Ozdaglar
Mathworks Professor, EECS, MIT
Ramtin Pedarsani
Associate Professor, Electrical and Computer Engineering, UC Santa Barbara
Amirhossein Reisizadeh
Postdoctoral Associate, MIT
Co-author 6
Ayfer Ozgur
Professor of Electrical Engineering, Stanford University
Soheil Feizi
University of Maryland, College Park
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