3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2025
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
Evan R. Antoniuk, Shehtab Zaman, Tal Ben-Nun +10
Data-driven molecular discovery leverages artificial intelligence/machine learning (AI/ML) and generative modeling to filter and design novel molecules. Discovering novel molecules…
eess.SY2024
Cascading Blackout Severity Prediction with Statistically-Augmented Graph Neural Networks
Joe Gorka, Tim Hsu, Wenting Li +2
Higher variability in grid conditions, resulting from growing renewable penetration and increased incidence of extreme weather events, has increased the difficulty of screening for…
cs.LG2022★ 3 cited
Challenges and approaches to privacy preserving post-click conversion prediction
Conor O'Brien, Arvind Thiagarajan, Sourav Das +5
Online advertising has typically been more personalized than offline advertising, through the use of machine learning models and real-time auctions for ad targeting. One specific t…