5 papers
On Sequence-to-Sequence Models for Automated Log Parsing
Adam Sorrenti, Andriy Miranskyy
Context: Log parsing is a critical standard operating procedure in software systems, enabling monitoring, anomaly detection, and failure diagnosis. However, automated log parsing r…
Improving Zero-Noise Extrapolation via Physically Bounded Models
Andriy Miranskyy, Adam Sorrenti, Jasmine Thind +1
Zero-noise extrapolation (ZNE) mitigates errors in near-term quantum devices by extrapolating measurements obtained at amplified noise levels to estimate noise-free expectation val…
Lock Prediction for Zero-Downtime Database Encryption
Mohamed Sami Rakha, Adam Sorrenti, Greg Stager +2
Modern enterprise database systems face significant challenges in balancing data security and performance. Ensuring robust encryption for sensitive information is critical for syst…
On Using Quasirandom Sequences in Machine Learning for Model Weight Initialization
Andriy Miranskyy, Adam Sorrenti, Viral Thakar
The effectiveness of training neural networks directly impacts computational costs, resource allocation, and model development timelines in machine learning applications. An optimi…
Spectral Mapping of Singing Voices: U-Net-Assisted Vocal Segmentation
Adam Sorrenti
Separating vocal elements from musical tracks is a longstanding challenge in audio signal processing. This study tackles the distinct separation of vocal components from musical sp…