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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Refuting Equivalence in Probabilistic Programs with Conditioning

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Jan 2025Publisher:Zenodo
Authors: Chatterjee, Krishnendu; Kafshdar Goharshady, Ehsan; Novotný, Petr; Žikelić, Đorđe;

doi: 10.5281/zenodo.14601150 , 10.5281/zenodo.14601151

Refuting Equivalence in Probabilistic Programs with Conditioning

Abstract

This repository contains the artifact of the paper titled "Refuting Equivalence in Probabilistic Programs with Conditioning" accepted at TACAS 2025.The tool takes two probabilistic transition systems with specified initial configurations as input and based on user preferences either (i) tries to prove whether the two programs generate equivalent output distributions, or (ii) tries to find a lowerbound on Kantorovich distance between the output distributions of the input programs.In order to run the baseline, Mathematica (`math` command in terminal) must be installed.Additionally, the repository contains the files for Gurobi Optimizer v10.0.3.The artifact is also available at https://github.com/ChatterjeeGroup-ISTA/artifact-equivalence-TACAS25

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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