6 citations · 15 across the 23 of their papers we have counts for
30 papers
Differentially Private Semantic Plans for Aggregate Insight Generation
Behrooz Razeghi
\texttt{URANIA} provides end-to-end differential privacy (DP) for summaries of data-dependent clusters. However, its cluster--keyword release does not directly provide collection-w…
Soft GRAND under Channel Uncertainty: Minimax Posterior-Envelope Ordering and Gallager-Exponent Preservation
Behrooz Razeghi
Soft Guessing Random Additive Noise Decoding queries corrections in an observation-dependent order. For a known channel, the matched order ranks corrections by nonincreasing condit…
Soft GRAND under Channel Switching and Drift
Behrooz Razeghi
Under channel switching or drift, the posterior used to order Guessing Random Additive Noise Decoding (GRAND) queries can differ from the matched correction posterior, increasing q…
Tail-Calibrated Soft-Output GRAND for Finite-Memory Noise-Effect Posteriors
Behrooz Razeghi
In guessing random additive noise decoding (GRAND), memory in the hard-decision noise effect changes the likelihood order of candidate noise effects. In soft-output decoding, the s…
Human-AI Co-Interpretation for Responsible AI: A Hermeneutic Perspective
Behrooz Razeghi
Across law, education, policy analysis, and public moral argumentation, LLM outputs are being used often for work that requires interpretations to be justified with textual evidenc…
Low-Pathwidth GRAND: Exact Likelihood-Ordered Enumeration for BPSK Transmission over Correlated Gaussian Noise
Behrooz Razeghi
The finite-block maximum-likelihood (ML) guarantee of soft-input GRAND requires querying noise-effect patterns in nonincreasing conditional-likelihood order. Under correlated Gauss…