activity
20242026
collaborators

9 papers

cs.LG2026

Value Functions as Supermartingale Certificates

Alessandro Abate, Daniel Contro, Mirco Giacobbe +2

Certification methods for stochastic systems provide sufficient proof rules, based on real-valued supermartingale certificates, to determine the almost-sure satisfaction of -re…

cs.LO2026

Complete -Regular Supermartingale Certificates

Alessandro Abate, Mirco Giacobbe, Sergey Ichtchenko +1

We introduce a general methodology for the construction of sound and complete proof rules for the almost-sure and quantitative acceptance of reactivity properties on time-homogeneo…

cs.CR2026

Zero-Knowledge Model Checking

Pascal Berrang, Mirco Giacobbe, Jacob Swales +1

We introduce a technology to formally verify that a software system satisfies a temporal specification of functional correctness, without revealing the system itself. Our method co…

cs.LO2026

Quantitative Verification with Neural Networks

Alessandro Abate, Alec Edwards, Mirco Giacobbe +2

We present a data-driven approach to the quantitative verification of probabilistic programs and stochastic dynamical models. Our approach leverages neural networks to compute tigh…

eess.SY2025

Existence and Synthesis of Multi-Resolution Approximate Bisimulations for Continuous-State Dynamical Systems

Rudi Coppola, Yannik Schnitzer, Mirco Giacobbe +2

We present a fully automatic framework for synthesising compact, finite-state deterministic abstractions of deterministic, continuous-state autonomous systems under locally specifi…

cs.LO2025

Branching Bisimulation Learning

Alessandro Abate, Mirco Giacobbe, Christian Micheletti +1

We introduce a bisimulation learning algorithm for non-deterministic transition systems. We generalise bisimulation learning to systems with bounded branching and extend its applic…