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20132026
most citedIMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules

21 citations · 67 across the 47 of their papers we have counts for

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20 papers · 1 filter

cs.AI2026

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach

Ajinkya Naik, Chaitanya Garg, S. Akshay +2

Decision tree ensembles (DTE) are a popular model for a wide range of AI classification tasks, used in multiple safety critical domains, and hence verifying properties on these mod…

cs.AI2025

An ASP-Based Framework for MUSes

Mohimenul Kabir, Kuldeep S Meel

Given an unsatisfiable formula, understanding the core reason for unsatisfiability is crucial in several applications. One effective way to capture this is through the minimal unsa…

cs.AI2025

Formally Solving Answer-Construction Problems in Lean

Jialiang Sun, Yuzhi Tang, Ao Li +2

Large language models (LLMs) have achieved remarkable progress in formal mathematical reasoning. Mathematical competition problems fall into two broad types: theorem-proving proble…

cs.AI2024

Probabilistic Explanations for Linear Models

Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S Meel

Formal XAI is an emerging field that focuses on providing explanations with mathematical guarantees for the decisions made by machine learning models. A significant amount of work…

cs.AI2024

Towards Projected and Incremental Pseudo-Boolean Model Counting

Suwei Yang, Kuldeep S. Meel

Model counting is a fundamental task that involves determining the number of satisfying assignments to a logical formula, typically in conjunctive normal form (CNF). While CNF mode…

cs.AI2024

The Cardinality of Identifying Code Sets for Soccer Ball Graph with Application to Remote Sensing

Anna L. D. Latour, Arunabha Sen, Kaustav Basu +2

In the context of satellite monitoring of the earth, we can assume that the surface of the earth is divided into a set of regions. We assume that the impact of a big social/environ…