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From the 1 of 10 linked papers with an AI index.

activity
20242026
most citedEstimating Size of the Union of Sets in Streaming Model

6 citations · 7 across the 2 of their papers we have counts for

collaborators

10 papers

cs.DS20266 cited

Estimating Size of the Union of Sets in Streaming Model

Kuldeep S. Meel, N. V. Vinodchandran, Sourav Chakraborty

The paper presents a simple sampling-based streaming algorithm that approximates the size of the union of implicitly given sets, achieving provable space and update‑time bounds and…

cs.LO20261 cited

CSB: A Counting and Sampling tool for Bit-vectors

Arijit Shaw, Kuldeep S. Meel

Satisfiability modulo theory (SMT) solvers have significantly advanced automated reasoning due to their effectiveness in solving problems across various fields. With the advancemen…

cs.LO2026

Approximate SMT Counting Beyond Discrete Domains

Arijit Shaw, Kuldeep S. Meel

Satisfiability Modulo Theory (SMT) solvers have advanced automated reasoning, solving complex formulas across discrete and continuous domains. Recent progress in propositional mode…

cs.FL2025

Counting and Sampling Traces in Regular Languages

Alexis de Colnet, Kuldeep S. Meel, Umang Mathur

In this work, we study the problems of counting and sampling Mazurkiewicz traces that a regular language touches. Fix an alphabet and an independence relation $\mathbb{I} \sub…

cs.LO2025

Efficient Volume Computation for SMT Formulas

Arijit Shaw, Uddalok Sarkar, Kuldeep S. Meel

Satisfiability Modulo Theory (SMT) has recently emerged as a powerful tool for solving various automated reasoning problems across diverse domains. Unlike traditional satisfiabilit…

cs.AI2025

Solution-aware vs global ReLU selection: partial MILP strikes back for DNN verification

Yuke Liao, Blaise Genest, Kuldeep Meel +1

To handle complex instances, we revisit a divide-and-conquer approach to break down the complexity: instead of few complex BaB calls, we rely on many small {\em partial} MILP calls…