572 citations
- University of CambridgeGB8 papers
- University of TorontoCA8 papers
- Cornell UniversityUS6 papers
- University of Central FloridaUS6 papers
- University of WyomingUS6 papers
- Meta (Israel)IL4 papers
- OpenAI (United States)US4 papers
- Carnegie Mellon UniversityUS3 papers
- Georgia Institute of TechnologyUS3 papers
- Google (United States)US3 papers
- Linköping UniversitySE3 papers
- Stanford UniversityUS3 papers
86 papers
Scaling Mobile Chaos Testing with AI-Driven Test Execution
Juan Marcano, Ashish Samant, Kai Song +9
Mobile applications in large-scale distributed systems are susceptible to backend service failures, yet traditional chaos engineering approaches cannot scale mobile testing due to…
AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environments
Mohammed Ashfaaq M. Farzaan, Mohamed Chahine Ghanem, Ayman El-Hajjar +1
The escalating sophistication and volume of cyber threats in cloud environments necessitate a paradigm shift in strategies. Recognising the need for an automated and precise respon…
An Empirical Quantile Estimation Approach to Nonlinear Optimization Problems with Chance Constraints
Fengqiao Luo, Jeffrey Larson
We investigate an empirical quantile estimation approach to solve chance-constrained nonlinear optimization problems. Our approach is based on the reformulation of the chance const…
Scaling and Load-Balancing Equi-Joins
Ahmed Metwally
The task of joining two tables is fundamental for querying databases. In this paper, we focus on the equi-join problem, where a pair of records from the two joined tables are part…
A Study of Real-World Data Races in Golang
Milind Chabbi, Murali Krishna Ramanathan
The concurrent programming literature is rich with tools and techniques for data race detection. Less, however, has been known about real-world, industry-scale deployment, experien…
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation
Xiaohui Zeng, Raquel Urtasun, Richard Zemel +2
In this paper, we present a non-parametric structured latent variable model for image generation, called NP-DRAW, which sequentially draws on a latent canvas in a part-by-part fash…