1 code implementation • 25 Jan 2024 • Haoze Wu, Omri Isac, Aleksandar Zeljić, Teruhiro Tagomori, Matthew Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark Barrett
This paper serves as a comprehensive system description of version 2. 0 of the Marabou framework for formal analysis of neural networks.
1 code implementation • 28 May 2021 • Ori Lahav, Guy Katz
Our approach can produce DNNs that are significantly smaller than the original, rendering them suitable for deployment on additional kinds of systems, and even more amenable to subsequent formal verification.
3 code implementations • 15 Nov 2019 • Evgenii Moiseenko, Anton Podkopaev, Ori Lahav, Orestis Melkonian, Viktor Vafeiadis
Our proof is the first that establishes correctness of compilation of an event-structure-based model that forbids "thin-air" behaviors, as well as the first mechanized compilation proof of a weak memory model supporting sequentially consistent accesses to such a range of hardware platforms.
Programming Languages
3 code implementations • 20 Jul 2018 • Anton Podkopaev, Ori Lahav, Viktor Vafeiadis
We develop a new intermediate weak memory model, IMM, as a way of modularizing the proofs of correctness of compilation from concurrent programming languages with weak memory consistency semantics to mainstream multi-core architectures, such as POWER and ARM.
Programming Languages
