Farzan Farnia - RankMe

113 papers A* 24A 8B 2Misc 2Journal 71Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. AAAI Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2026	J	`jnl`	DAK-UCB: Diversity-Aware Prompt Routing for LLMs and Generative Models. CoRR Donya Jafari, Farzan Farnia
2026	J	`jnl`	Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error. CoRR Farzan Farnia, Mohammad Jalali, Azim Ospanov
2026	J	`jnl`	On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations. CoRR Haoyu Lei, Mohammad Jalali, Chin Wa Lau, Farzan Farnia
2026	J	`jnl`	PromptSplit: Revealing Prompt-Level Disagreement in Generative Models. CoRR Mehdi Lotfian, Mohammad Jalali, Farzan Farnia
2026	J	`jnl`	The Maximum von Neumann Entropy Principle: Theory and Applications in Machine Learning. CoRR Youqi Wu, Farzan Farnia
2026	J	`jnl`	Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance. CoRR Matina Mahdizadeh Sani, Nima Jamali, Mohammad Jalali, Farzan Farnia
2026	J	`jnl`	When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits? CoRR Bahar Dibaei Nia, Farzan Farnia
2025	A	`conf`	A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models. AISTATS Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
2025	J	`jnl`	APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning. CoRR Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
2025	—	`conf`	An Information-Theoretic Approach to Diversity Evaluation of Prompt-Based Generative Models. ICCVW Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia
2025	A*	`conf`	Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms. ICLR Parham Rezaei, Farzan Farnia, Cheuk Ting Li
2025	J	`jnl`	Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling. CoRR Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2025	A*	`conf`	Boosting the visual interpretability of CLIP via adversarial fine-tuning. ICLR Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia
2025	A*	`conf`	Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts. ICML Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia
2025	J	`jnl`	Consistency Flow Model Achieves One-step Denoising Error Correction Codes. CoRR Haoyu Lei, Chin Wa Lau, Kaiwen Zhou, Nian Guo, Farzan Farnia
2025	J	`jnl`	DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion. CoRR Zixiao Wang, Wenqian Zhao, Yunheng Shen, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
2025	J	`jnl`	DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zixiao Wang, Wenqian Zhao, Yunheng Shen, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
2025	A	`conf`	Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees. UAI Azim Ospanov, Farzan Farnia
2025	J	`jnl`	Fusing Cross-modal and Uni-modal Representations: A Kronecker Product Approach. CoRR Youqi Wu, Jingwei Zhang, Farzan Farnia
2025	A	`conf`	Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability. AISTATS Zhuorui Ye, Farzan Farnia
2025	J	`jnl`	HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs. CoRR Azim Ospanov, Zijin Feng, Jiacheng Sun, Haoli Bai, Shen Xin, Farzan Farnia
2025	A*	`conf`	Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models. ICML Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia
2025	J	`jnl`	Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models. CoRR Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia
2025	A*	`conf`	Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference. ICML Junbin Liu, Farzan Farnia, Wing-Kin Ma
2025	—	`conf`	On the Distributed Evaluation of Generative Models. ICCVW Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu
2025	A*	`conf`	PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs. ICML Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
2025	J	`jnl`	PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models. CoRR Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu
2025	J	`jnl`	PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models. CoRR Xiaoyan Hu, Lauren Pick, Ho-fung Leung, Farzan Farnia
2025	J	`jnl`	SPARKE: Scalable Prompt-Aware Diversity Guidance in Diffusion Models via RKE Score. CoRR Mohammad Jalali, Haoyu Lei, Amin Gohari, Farzan Farnia
2025	A*	`conf`	Towards an Explainable Comparison and Alignment of Feature Embeddings. ICML Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia
2025	J	`jnl`	Towards an Explainable Comparison and Alignment of Feature Embeddings. CoRR Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia
2025	A*	`conf`	Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach. CVPR Jingwei Zhang, Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
2025	J	`jnl`	VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for Multiwearable Sensing Device-Based Human Activity Recognition. IEEE Internet Things J. Nafees Ahmad, Ho-fung Leung, Farzan Farnia
2025	J	`jnl`	miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward. CoRR Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
2025	J	`jnl`	pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning. CoRR Haoyu Lei, Shizhan Gong, Qi Dou, Farzan Farnia
2024	A	`conf`	A Super-pixel-based Approach to the Stable Interpretation of Neural Networks. BMVC Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia
2024	J	`jnl`	A Super-pixel-based Approach to the Stable Interpretation of Neural Networks. CoRR Shizhan Gong, Jingwei Zhang, Qi Dou, Farzan Farnia
2024	A*	`conf`	An Information Theoretic Approach to Interaction-Grounded Learning. ICML Xiaoyan Hu, Farzan Farnia, Ho-fung Leung
2024	J	`jnl`	An Information Theoretic Approach to Interaction-Grounded Learning. CoRR Xiaoyan Hu, Farzan Farnia, Ho-fung Leung
2024	A*	`conf`	An Interpretable Evaluation of Entropy-based Novelty of Generative Models. ICML Jingwei Zhang, Cheuk Ting Li, Farzan Farnia
2024	J	`jnl`	An Interpretable Evaluation of Entropy-based Novelty of Generative Models. CoRR Jingwei Zhang, Cheuk Ting Li, Farzan Farnia
2024	J	`jnl`	An Online Learning Approach to Prompt-based Selection of Generative Models. CoRR Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
2024	J	`jnl`	An Optimism-based Approach to Online Evaluation of Generative Models. CoRR Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
2024	J	`jnl`	Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Models. CoRR Parham Rezaei, Farzan Farnia, Cheuk Ting Li
2024	J	`jnl`	Certified Adversarial Robustness via Partition-based Randomized Smoothing. CoRR Hossein Goli, Farzan Farnia
2024	A*	`conf`	ChatPattern: Layout Pattern Customization via Natural Language. DAC Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu
2024	J	`jnl`	ChatPattern: Layout Pattern Customization via Natural Language. CoRR Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu
2024	J	`jnl`	Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models. CoRR Mohammad Jalali, Azim Ospanov, Amin Gohari, Farzan Farnia
2024	J	`jnl`	Dissecting CLIP: Decomposition with a Schur Complement-based Approach. CoRR Azim Ospanov, Mohammad Jalali, Farzan Farnia
2024	J	`jnl`	MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations. CoRR Zixiao Wang, Jingwei Zhang, Wenqian Zhao, Farzan Farnia, Bei Yu
2024	A	`conf`	On Convergence in Wasserstein Distance and f-divergence Minimization Problems. AISTATS Cheuk Ting Li, Jingwei Zhang, Farzan Farnia
2024	A	`conf`	On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms. UAI Haoyu Lei, Amin Gohari, Farzan Farnia
2024	J	`jnl`	On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms. CoRR Haoyu Lei, Amin Gohari, Farzan Farnia
2024	J	`jnl`	On the Mode-Seeking Properties of Langevin Dynamics. CoRR Xiwei Cheng, Kexin Fu, Farzan Farnia
2024	J	`jnl`	On the Statistical Complexity of Estimating VENDI Scores from Empirical Data. CoRR Azim Ospanov, Farzan Farnia
2024	J	`jnl`	On the Trade-Off between Stability and Fidelity of Gaussian-Smoothed Saliency Maps. CoRR Zhuorui Ye, Farzan Farnia
2024	A*	`conf`	Provably Efficient CVaR RL in Low-rank MDPs. ICLR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2024	J	`jnl`	Robust Model Evaluation over Large-scale Federated Networks. CoRR Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia
2024	—	`conf`	Sparse Domain Transfer via Elastic Net Regularization. ACCV (5) Jingwei Zhang, Farzan Farnia
2024	J	`jnl`	Sparse Domain Transfer via Elastic Net Regularization. CoRR Jingwei Zhang, Farzan Farnia
2024	J	`jnl`	Stability and Generalization in Free Adversarial Training. CoRR Xiwei Cheng, Kexin Fu, Farzan Farnia
2024	J	`jnl`	Stability and Generalization in Free Adversarial Training. Trans. Mach. Learn. Res. Xiwei Cheng, Kexin Fu, Farzan Farnia
2024	A*	`conf`	Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training. CVPR Shizhan Gong, Qi Dou, Farzan Farnia
2024	J	`jnl`	Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training. CoRR Shizhan Gong, Qi Dou, Farzan Farnia
2024	J	`jnl`	Towards a Scalable Identification of Novel Modes in Generative Models. CoRR Jingwei Zhang, Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
2024	A*	`conf`	Towards a Scalable Reference-Free Evaluation of Generative Models. NeurIPS Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia
2024	J	`jnl`	Towards a Scalable Reference-Free Evaluation of Generative Models. CoRR Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia
2023	A*	`conf`	An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions. NeurIPS Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
2023	A*	`conf`	DiffPattern: Layout Pattern Generation via Discrete Diffusion. DAC Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
2023	J	`jnl`	DiffPattern: Layout Pattern Generation via Discrete Diffusion. CoRR Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu
2023	J	`jnl`	GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. SIAM J. Math. Data Sci. Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
2023	Misc	`conf`	Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations. ICASSP Haniyeh Ehsani Oskouie, Farzan Farnia
2023	A	`conf`	Mode-Seeking Divergences: Theory and Applications to GANs. AISTATS Cheuk Ting Li, Farzan Farnia
2023	A*	`conf`	MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope. ICCV Jingwei Zhang, Farzan Farnia
2023	J	`jnl`	MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope. CoRR Jingwei Zhang, Farzan Farnia
2023	J	`jnl`	On the Evaluation of Generative Models in Distributed Learning Tasks. CoRR Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu
2023	A	`conf`	On the Role of Generalization in Transferability of Adversarial Examples. UAI Yilin Wang, Farzan Farnia
2023	J	`jnl`	Provably Efficient CVaR RL in Low-rank MDPs. CoRR Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
2022	J	`jnl`	An Optimal Transport Approach to Personalized Federated Learning. CoRR Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
2022	J	`jnl`	An Optimal Transport Approach to Personalized Federated Learning. IEEE J. Sel. Areas Inf. Theory Farzan Farnia, Amirhossein Reisizadeh, Ramtin Pedarsani, Ali Jadbabaie
2022	J	`jnl`	Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations. CoRR Haniyeh Ehsani Oskouie, Farzan Farnia
2022	A*	`conf`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. ICML Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	J	`jnl`	On Convergence of Gradient Descent Ascent: A Tight Local Analysis. CoRR Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie
2022	J	`jnl`	On the Role of Generalization in Transferability of Adversarial Examples. CoRR Yilin Wang, Farzan Farnia
2022	J	`jnl`	Universal Adversarial Directions. CoRR Ching Lam Choi, Farzan Farnia
2021	A*	`conf`	A Wasserstein Minimax Framework for Mixed Linear Regression. ICML Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
2021	J	`jnl`	A Wasserstein Minimax Framework for Mixed Linear Regression. CoRR Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman E. Ozdaglar
2021	J	`jnl`	Group-Structured Adversarial Training. CoRR Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse
2021	A*	`conf`	Train simultaneously, generalize better: Stability of gradient-based minimax learners. ICML Farzan Farnia, Asuman E. Ozdaglar
2020	J	`jnl`	A Fourier-Based Approach to Generalization and Optimization in Deep Learning. IEEE J. Sel. Areas Inf. Theory Farzan Farnia, Jesse M. Zhang, David N. C. Tse
2020	A*	`conf`	Do GANs always have Nash equilibria? ICML Farzan Farnia, Asuman E. Ozdaglar
2020	J	`jnl`	GANs May Have No Nash Equilibria. CoRR Farzan Farnia, Asuman E. Ozdaglar
2020	J	`jnl`	GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models. CoRR Farzan Farnia, William W. Wang, Subhro Das, Ali Jadbabaie
2020	A*	`conf`	Robust Federated Learning: The Case of Affine Distribution Shifts. NeurIPS Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
2020	J	`jnl`	Robust Federated Learning: The Case of Affine Distribution Shifts. CoRR Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie
2020	J	`jnl`	Train simultaneously, generalize better: Stability of gradient-based minimax learners. CoRR Farzan Farnia, Asuman E. Ozdaglar
2020	J	`jnl`	Understanding GANs in the LQG Setting: Formulation, Generalization and Stability. IEEE J. Sel. Areas Inf. Theory Soheil Feizi, Farzan Farnia, Tony Ginart, David Tse
2019	—	`conf`	Generalizable Adversarial Training via Spectral Normalization. ICLR (Poster) Farzan Farnia, Jesse M. Zhang, David Tse
2018	A*	`conf`	A Convex Duality Framework for GANs. NeurIPS Farzan Farnia, David Tse
2018	J	`jnl`	A Convex Duality Framework for GANs. CoRR Farzan Farnia, David Tse
2018	J	`jnl`	Generalizable Adversarial Training via Spectral Normalization. CoRR Farzan Farnia, Jesse M. Zhang, David Tse
2016	—	`conf`	A Minimax Approach to Supervised Learning. NIPS Farzan Farnia, David Tse
2016	J	`jnl`	A Minimax Approach to Supervised Learning. CoRR Farzan Farnia, David Tse
2015	—	`conf`	Discrete Rényi Classifiers. NIPS Meisam Razaviyayn, Farzan Farnia, David Tse
2015	J	`jnl`	Discrete Rényi Classifiers. CoRR Meisam Razaviyayn, Farzan Farnia, David N. C. Tse
2015	J	`jnl`	Minimum HGR Correlation Principle: From Marginals to Joint Distribution. CoRR Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan, David Tse
2015	B	`conf`	Minimum HGR correlation principle: From marginals to joint distribution. ISIT Farzan Farnia, Meisam Razaviyayn, Sreeram Kannan, David Tse
2015	J	`jnl`	Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication. IEEE J. Sel. Areas Commun. Yishun Dong, Farzan Farnia, Ayfer Özgür
2015	J	`jnl`	On Feedback in Gaussian Multihop Networks. IEEE Trans. Inf. Theory Bobbie Chern, Farzan Farnia, Ayfer Özgür
2014	J	`jnl`	Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication. CoRR Yishun Dong, Farzan Farnia, Ayfer Özgür
2014	Misc	`conf`	On feedback in Gaussian multi-hop networks. ITA Farzan Farnia, Ayfer Özgür
2013	B	`conf`	Asymptotic behavior of network capacity under spatial network coding. WCNC Farzan Farnia, S. Jamaloddin Golestani