activity
20172026
most citedParallelization Techniques for Verifying Neural Networks

25 citations · 75 across the 16 of their papers we have counts for

collaborators

18 papers

cs.LO2026

Solution Space Partitioning for Extremal Set Theory

Jesse Looney, Jonah McDonald, Allison Klingler +3

We present a method for partitioning the solution space of statements in extremal set theory. Compared with domain-agnostic partitioning methods like look-ahead, we perform case an…

cs.AI2023

Lightweight Online Learning for Sets of Related Problems in Automated Reasoning

Haoze Wu, Christopher Hahn, Florian Lonsing +3

We present Self-Driven Strategy Learning (), a lightweight online learning methodology for automated reasoning tasks that involve solving a set of related problems.…

cs.LG2023★ 1 cited

Convex Bounds on the Softmax Function with Applications to Robustness Verification

Dennis Wei, Haoze Wu, Min Wu +3

The softmax function is a ubiquitous component at the output of neural networks and increasingly in intermediate layers as well. This paper provides convex lower bounds and concave…

cs.RO2023

Soy: An Efficient MILP Solver for Piecewise-Affine Systems

Haoze Wu, Min Wu, Dorsa Sadigh +1

Piecewise-affine (PWA) systems are widely used for modeling and control of robotics problems including modeling contact dynamics. A common approach is to encode the control problem…

cs.LG2022★ 5 cited

VeriX: Towards Verified Explainability of Deep Neural Networks

Min Wu, Haoze Wu, Clark Barrett

We present VeriX (Verified eXplainability), a system for producing optimal robust explanations and generating counterfactuals along decision boundaries of machine learning models.…

cs.LO2022★ 1 cited

Proof-Stitch: Proof Combination for Divide and Conquer SAT Solvers

Abhishek Nair, Saranyu Chattopadhyay, Haoze Wu +2

With the increasing availability of parallel computing power, there is a growing focus on parallelizing algorithms for important automated reasoning problems such as Boolean satisf…