8 papers
Exact Rate Exponent Tradeoff for New Classes of Distributed Hypothesis Testing Problems
Zhenduo Wen, Amin Gohari, Michèle Wigger
We study the optimal Stein error exponent for one-way distributed hypothesis testing under a communication rate constraint. We establish exact rate-exponent tradeoffs for new class…
Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond Imitation
Farzan Farnia, Hossein Goli, Amin Gohari
Generative AI models are primarily designed to imitate the data distribution, an objective that neither corrects diversity lost by a learned generator nor defines how generation sh…
Stable Source Coding
Zhenduo Wen, Amin Gohari
A source encoder is stable if a small change in the source sequence (e.g., changing a few symbols) results in a small (or bounded) change in the output codeword. By this definition…
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
Mohammad Jalali, Haoyu Lei, Amin Gohari +1
Diffusion models have demonstrated remarkable success in high-fidelity image synthesis and prompt-guided generative modeling. However, ensuring adequate diversity in generated samp…
Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs
Mohammad Jalali, Azim Ospanov, Amin Gohari +1
Generative models guided by text prompts are widely evaluated for fidelity and prompt alignment, yet their ability to produce diverse outputs remains underexplored. Existing divers…
A New Upper Bound for Distributed Hypothesis Testing Using the Auxiliary Receiver Approach
Zhenduo Wen, Amin Gohari
This paper employs the add-and-subtract technique of the auxiliary receiver approach to establish a new upper bound for the distributed hypothesis testing problem. This new bound h…
Impact of Fairness Regulations on Institutions' Policies and Population Qualifications
Hamidreza Montaseri, Amin Gohari
The proliferation of algorithmic systems has fueled discussions surrounding the regulation and control of their social impact. Herein, we consider a system whose primary objective…
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei, Amin Gohari, Farzan Farnia
Fair supervised learning algorithms assigning labels with little dependence on a sensitive attribute have attracted great attention in the machine learning community. While the dem…