Farzan Farnia

CoRR, March, 2026

When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?

[BibT_eX]

[DOI]

Bahar Dibaei Nia

CoRR, March, 2026

Exposing Diversity Bias in Deep Generative Models: Statistical Origins and Correction of Diversity Error.

[BibT_eX]

[DOI]

CoRR, February, 2026

PromptSplit: Revealing Prompt-Level Disagreement in Generative Models.

[BibT_eX]

[DOI]

Mehdi Lotfian

CoRR, February, 2026

The Maximum von Neumann Entropy Principle: Theory and Applications in Machine Learning.

[BibT_eX]

[DOI]

Youqi Wu

CoRR, February, 2026

On the Fragility of AI-Based Channel Decoders under Small Channel Perturbations.

[BibT_eX]

[DOI]

CoRR, February, 2026

Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance.

[BibT_eX]

[DOI]

Matina Mahdizadeh Sani

Nima Jamali

CoRR, January, 2026

DiffResist: Physics-Constrained Diffusion for Photoresist Modeling.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2026

FastRW: An Efficient Random Walk Method for Steady-State Thermal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2026

Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2025

Consistency Flow Model Achieves One-step Denoising Error Correction Codes.

[BibT_eX]

[DOI]

CoRR, December, 2025

HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs.

[BibT_eX]

[DOI]

CoRR, November, 2025

miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward.

[BibT_eX]

[DOI]

Roozbeh Yousefzadeh

CoRR, November, 2025

PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for Multiwearable Sensing Device-Based Human Activity Recognition.

[BibT_eX]

[DOI]

Nafees Ahmad

IEEE Internet Things J., July, 2025

SPARKE: Scalable Prompt-Aware Diversity Guidance in Diffusion Models via RKE Score.

[BibT_eX]

[DOI]

CoRR, June, 2025

Fusing Cross-modal and Uni-modal Representations: A Kronecker Product Approach.

[BibT_eX]

[DOI]

Youqi Wu

CoRR, June, 2025

PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning.

[BibT_eX]

[DOI]

Roozbeh Yousefzadeh

CoRR, May, 2025

pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling.

[BibT_eX]

[DOI]

CoRR, February, 2025

Robust Detection of Out-of-Distribution Shifts in Chest X-ray Imaging.

[BibT_eX]

[DOI]

Fatemeh Karimi

Kyongtae Tyler Bae

J. Imaging Inform. Medicine, 2025

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward.

[BibT_eX]

[DOI]

Roozbeh Mohit

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference.

[BibT_eX]

[DOI]

Junbin Liu

Wing-Kin Ma

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards an Explainable Comparison and Alignment of Feature Embeddings.

[BibT_eX]

[DOI]

Bahar Dibaei Nia

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts.

[BibT_eX]

[DOI]

Amir Najafi

Samin Mahdizadeh Sani

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms.

[BibT_eX]

[DOI]

Parham Rezaei

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Boosting the visual interpretability of CLIP via adversarial fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Distributed Evaluation of Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Scendi Score: Prompt-Aware Diversity Evaluation Via Schur Complement of Clip Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

An Information-Theoretic Approach to Diversity Evaluation of Prompt-Based Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability.

[BibT_eX]

[DOI]

Zhuorui Ye

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Stability and Generalization in Free Adversarial Training.

[BibT_eX]

[DOI]

Xiwei Cheng

Kexin Fu

Trans. Mach. Learn. Res., 2024

Dissecting CLIP: Decomposition with a Schur Complement-based Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Models.

[BibT_eX]

[DOI]

Parham Rezaei

CoRR, 2024

On the Trade-Off between Stability and Fidelity of Gaussian-Smoothed Saliency Maps.

[BibT_eX]

[DOI]

Zhuorui Ye

CoRR, 2024

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

On the Statistical Complexity of Estimating VENDI Scores from Empirical Data.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Model Evaluation over Large-scale Federated Networks.

[BibT_eX]

[DOI]

Amir Najafi

Samin Mahdizadeh Sani

CoRR, 2024

An Online Learning Approach to Prompt-based Selection of Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

Certified Adversarial Robustness via Partition-based Randomized Smoothing.

[BibT_eX]

[DOI]

Hossein Goli

CoRR, 2024

An Optimism-based Approach to Online Evaluation of Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations.

[BibT_eX]

[DOI]

CoRR, 2024

On the Mode-Seeking Properties of Langevin Dynamics.

[BibT_eX]

[DOI]

Xiwei Cheng

Kexin Fu

CoRR, 2024

Towards a Scalable Identification of Novel Modes in Generative Models.

[BibT_eX]

[DOI]

CoRR, 2024

On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms.

[BibT_eX]

[DOI]

Haoyu Lei

Amin Gohari

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Towards a Scalable Reference-Free Evaluation of Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

An Interpretable Evaluation of Entropy-based Novelty of Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Information Theoretic Approach to Interaction-Grounded Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Provably Efficient CVaR RL in Low-rank MDPs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ChatPattern: Layout Pattern Customization via Natural Language.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training.

[BibT_eX]

[DOI]

Shizhan Gong

Qi Dou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Super-pixel-based Approach to the Stable Interpretation of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th British Machine Vision Conference, 2024

On Convergence in Wasserstein Distance and f-divergence Minimization Problems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Sparse Domain Transfer via Elastic Net Regularization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., March, 2023

On the Evaluation of Generative Models in Distributed Learning Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

On the Role of Generalization in Transferability of Adversarial Examples.

[BibT_eX]

[DOI]

Yilin Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Haniyeh Ehsani Oskouie

Proceedings of the IEEE International Conference on Acoustics, 2023

DiffPattern: Layout Pattern Generation via Discrete Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Mode-Seeking Divergences: Theory and Applications to GANs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

An Optimal Transport Approach to Personalized Federated Learning.

[BibT_eX]

[DOI]

Amirhossein Reisizadeh

Ramtin Pedarsani

Ali Jadbabaie

IEEE J. Sel. Areas Inf. Theory, 2022

Universal Adversarial Directions.

[BibT_eX]

[DOI]

Ching Lam Choi

CoRR, 2022

On Convergence of Gradient Descent Ascent: A Tight Local Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Group-Structured Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2021

Train simultaneously, generalize better: Stability of gradient-based minimax learners.

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

Proceedings of the 38th International Conference on Machine Learning, 2021

A Wasserstein Minimax Framework for Mixed Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Understanding GANs in the LQG Setting: Formulation, Generalization and Stability.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

A Fourier-Based Approach to Generalization and Optimization in Deep Learning.

[BibT_eX]

[DOI]

Jesse M. Zhang

David N. C. Tse

IEEE J. Sel. Areas Inf. Theory, 2020

GANs May Have No Nash Equilibria.

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

CoRR, 2020

Robust Federated Learning: The Case of Affine Distribution Shifts.

[BibT_eX]

[DOI]

Amirhossein Reisizadeh

Ramtin Pedarsani

Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Do GANs always have Nash equilibria?

[BibT_eX]

[DOI]

Asuman E. Ozdaglar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Generalizable Adversarial Training via Spectral Normalization.

[BibT_eX]

[DOI]

Jesse M. Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A Convex Duality Framework for GANs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

A Minimax Approach to Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

On Feedback in Gaussian Multihop Networks.

[BibT_eX]

[DOI]

Bobbie Chern

Ayfer Özgür

IEEE Trans. Inf. Theory, 2015

Near Optimal Energy Control and Approximate Capacity of Energy Harvesting Communication.

[BibT_eX]

[DOI]

Yishun Dong

Ayfer Özgür

IEEE J. Sel. Areas Commun., 2015

Discrete Rényi Classifiers.

[BibT_eX]

[DOI]

Meisam Razaviyayn

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Minimum HGR correlation principle: From marginals to joint distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

On feedback in Gaussian multi-hop networks.

[BibT_eX]

[DOI]

Ayfer Özgür

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

2013

Asymptotic behavior of network capacity under spatial network coding.

[BibT_eX]

[DOI]