42 citations · 68 across the 7 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021★ 2 cited
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples
Zhuoran Liu, Zhengyu Zhao, Alex Kolmus +4
Recent work has shown that imperceptible perturbations can be applied to craft unlearnable examples (ULEs), i.e. images whose content cannot be used to improve a classifier during…
gr-qc2021★ 15 cited
Swift sky localization of gravitational waves using deep learning seeded importance sampling
Alex Kolmus, Grégory Baltus, Justin Janquart +3
Fast, highly accurate, and reliable inference of the sky origin of gravitational waves would enable real-time multi-messenger astronomy. Current Bayesian inference methodologies, a…