activity
20042024
most citedAutomated Repair of Neural Networks

6 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LO2024

Revisiting Assumptions Ordering in CAR-Based Model Checking

Yibo Dong, Yu Chen, Jianwen Li +2

Model checking is an automatic formal verification technique that is widely used in hardware verification. The state-of-the-art complete model-checking techniques, based on IC3/PDR…

cs.LO2022★ 2 cited

Regression verification of unbalanced recursive functions with multiple calls (long version)

Chaked R. J. Sayedoff, Ofer Strichman

Given two programs and , typically two versions of the same program, the goal of regression verification is to mark pairs of functions from and that are equi…

cs.LG2022★ 6 cited

Automated Repair of Neural Networks

Dor Cohen, Ofer Strichman

Over the last decade, Neural Networks (NNs) have been widely used in numerous applications including safety-critical ones such as autonomous systems. Despite their emerging adoptio…

cs.LO2021

Exploiting Isomorphic Subgraphs in SAT (Long version)

Alexander Ivrii, Ofer Strichman

While static symmetry breaking has been explored in the SAT community for decades, only as of 2010 research has focused on exploiting the same discovered symmetry dynamically, duri…

cs.LG2020★ 1 cited

A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 (Corona-virus) tests

Tomer Cohen, Lior Finkelman, Gal Grimberg +4

We show that combining a prediction model (based on neural networks), with a new method of test pooling (better than the original Dorfman method, and better than double-pooling) ca…

cs.AI2017★ 1 cited

The impact of Entropy and Solution Density on selected SAT heuristics

Dor Cohen, Ofer Strichman

In a recent article [Oh'15], Oh examined the impact of various key heuristics (e.g., deletion strategy, restart policy, decay factor, database reduction) in competitive SAT solvers…