activity
20092020
most citedSyGuS-Comp 2017: Results and Analysis

30 citations · 31 across the 5 of their papers we have counts for

collaborators

11 papers

cs.FL2020

Safety Synthesis Sans Specification

Roderick Bloem, Hana Chockler, Masoud Ebrahimi +2

We define the problem of learning a transducer from a target language containing possibly conflicting transducers, using membership queries and conjecture queries. The re…

cs.FL20201 cited

Learning of Structurally Unambiguous Probabilistic Grammars

Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

The problem of identifying a probabilistic context free grammar has two aspects: the first is determining the grammar's topology (the rules of the grammar) and the second is estima…

cs.FL2020

On the Complexity of Symbolic Finite-State Automata

Dana Fisman, Hadar Frenkel, Sandra Zilles

We revisit the complexity of procedures on SFAs (such as intersection, emptiness, etc.) and analyze them according to the measures we find suitable for symbolic automata: the numbe…

cs.LG2020

Learning Interpretable Models in the Property Specification Language

Rajarshi Roy, Dana Fisman, Daniel Neider

We address the problem of learning human-interpretable descriptions of a complex system from a finite set of positive and negative examples of its behavior. In contrast to most of…

cs.FL2020

Polynomial time algorithms for inclusion and equivalence of deterministic omega acceptors

Dana Angluin, Dana Fisman

The class of omega languages recognized by deterministic parity acceptors (DPAs) or deterministic Muller acceptors (DMAs) is exactly the regular omega languages. The inclusion prob…

cs.PL2019

SyGuS-Comp 2018: Results and Analysis

Rajeev Alur, Dana Fisman, Saswat Padhi +2

Syntax-guided synthesis (SyGuS) is the computational problem of finding an implementation that meets both a semantic constraint given by a logical formula in a background t…