Towards a Scalable Reference-Free Evaluation of Generative Models. - Azim Ospanov; Jingwei Zhang; Mohammad Jalali; Xuenan Cao; Andrej Bogdanov; Farzan Farnia (NeurIPS, 2024)

On the Statistical Complexity of Estimating VENDI Scores from Empirical Data. - Azim Ospanov; Farzan Farnia (CoRR, 2024)

Conditional Vendi Score: An Information-Theoretic Approach to Diversity Evaluation of Prompt-based Generative Models. - Mohammad Jalali; Azim Ospanov; Amin Gohari; Farzan Farnia (CoRR, 2024)

Dissecting CLIP: Decomposition with a Schur Complement-based Approach. - Azim Ospanov; Mohammad Jalali; Farzan Farnia (CoRR, 2024)

Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees. - Azim Ospanov; Farzan Farnia (UAI, 2025)

APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning. - Azim Ospanov; Farzan Farnia; Roozbeh Yousefzadeh (CoRR, 2025)