11 citations · 13 across the 4 of their papers we have counts for
4 papers
GPU accelerated program synthesis: Enumerate semantics, not syntax!
Martin Berger, Nathanaël Fijalkow, Mojtaba Valizadeh
Program synthesis is an umbrella term for generating programs and logical formulae from specifications. With the remarkable performance improvements that GPUs enable for deep learn…
LTL learning on GPUs
Mojtaba Valizadeh, Nathanaël Fijalkow, Martin Berger
Linear temporal logic (LTL) is widely used in industrial verification. LTL formulae can be learned from traces. Scaling LTL formula learning is an open problem. We implement the fi…
Correct and Optimal: the Regular Expression Inference Challenge
Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci +1
We propose regular expression inference (REI) as a challenge for code/language modelling, and the wider machine learning community. REI is a supervised machine learning (ML) and pr…
Search-Based Regular Expression Inference on a GPU
Mojtaba Valizadeh, Martin Berger
Regular expression inference (REI) is a supervised machine learning and program synthesis problem that takes a cost metric for regular expressions, and positive and negative exampl…