activity
20192022
most citedSilas: High Performance, Explainable and Verifiable Machine Learning

5 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2022

An Executable Formal Model of the VHDL in Isabelle/HOL

Wilayat Khan, Zhe Hou, David Sanan +3

In the hardware design process, hardware components are usually described in a hardware description language. Most of the hardware description languages, such as Verilog and VHDL,…

cs.LO20211 cited

Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning

Gelin Zhang, Zhe Hou, Yanhong Huang +4

Ensemble trees are a popular machine learning model which often yields high prediction performance when analysing structured data. Although individual small decision trees are deem…

cs.DM2020

N-PAT: A Nested Model-Checker

Hadrien Bride, Cheng-Hao Cai, Jin Song Dong +4

N-PAT is a new model-checking tool that supports the verification of nested-models, i.e. models whose behaviour depends on the results of verification tasks. In this paper, we desc…

cs.LG20195 cited

Silas: High Performance, Explainable and Verifiable Machine Learning

Hadrien Bride, Zhe Hou, Jie Dong +2

This paper introduces a new classification tool named Silas, which is built to provide a more transparent and dependable data analytics service. A focus of Silas is on providing a…

cs.AI2019

GRAVITAS: A Model Checking Based Planning and Goal Reasoning Framework for Autonomous Systems

Hadrien Bride, Jin Song Dong, Ryan Green +3

While AI techniques have found many successful applications in autonomous systems, many of them permit behaviours that are difficult to interpret and may lead to uncertain results.…

cs.LO2019

A formalisation of the SPARC TSO memory model for multi-core machine code

Zhe Hou, David Sanan, Alwen Tiu +2

SPARC processors have many applications in mission-critical industries such as aviation and space engineering. Hence, it is important to provide formal frameworks that facilitate t…