3 papers
hep-ph2026
Validating a Machine Learning Approach to Identify Quenched Jets in Heavy-Ion Collisions
Yilun Wu, Yi Chen, Julia Velkovska
Jet quenching is a phenomenon in heavy-ion collisions arising from jet interactions with the quark-gluon plasma (QGP). Its study is complicated by the interplay of multiple physics…
cs.CV2025
Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
Yahsin Yeh, Yilun Wu, Bokai Ruan +1
Natural language explanations in visual question answering (VQA-NLE) aim to make black-box models more transparent by elucidating their decision-making processes. However, we find…
cs.RO2025
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
Jesse Hagenaars, Yilun Wu, Federico Paredes-Vallés +2
Event cameras provide low-latency perception for only milliwatts of power. This makes them highly suitable for resource-restricted, agile robots such as small flying drones. Self-s…