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cs.LO2025

A Tree-Shaped Tableau for Checking the Satisfiability of Signal Temporal Logic with Bounded Temporal Operators

Beatrice Melani, Ezio Bartocci, Michele Chiari

Signal Temporal Logic (STL) is a widely recognized formal specification language to express rigorous temporal requirements on mixed analog signals produced by cyber-physical system…

cs.LG2025

Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs

Andrey Kofnov, Daniel Kapla, Ezio Bartocci +1

We derive exact upper and lower bounds for the cumulative distribution function (cdf) of the output of a neural network (NN) over its entire support subject to noisy (stochastic) i…

cs.LO2025

POPACheck: A Model Checker for Probabilistic Pushdown Automata

Francesco Pontiggia, Ezio Bartocci, Michele Chiari

We present POPACheck, the first model checking tool for probabilistic Pushdown Automata (pPDA) supporting temporal logic specifications. POPACheck provides a user-friendly probabil…

cs.LO2025

Cumulative-Time Signal Temporal Logic

Hongkai Chen, Zeyu Zhang, Shouvik Roy +4

Signal Temporal Logic (STL) is a widely adopted specification language in cyber-physical systems for expressing critical temporal requirements, such as safety conditions and respon…

stat.ME2025

Moment-based Density Elicitation with Applications in Probabilistic Loops

Andrey Kofnov, Ezio Bartocci, Efstathia Bura

We propose the K-series estimation approach for the recovery of unknown univariate and multivariate distributions given knowledge of a finite number of their moments. Our method is…

cs.LG2025

Rule-Guided Reinforcement Learning Policy Evaluation and Improvement

Martin Tappler, Ignacio D. Lopez-Miguel, Sebastian Tschiatschek +1

We consider the challenging problem of using domain knowledge to improve deep reinforcement learning policies. To this end, we propose LEGIBLE, a novel approach, following a multi-…