arXiv Machine Learning June 19, 2026 By Jie Min, Yueyao Wang, Mengkun Chen

SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data

Read the original on arXiv Machine Learning →

arXiv:2606. 20451v1 Announce Type: cross Abstract: Competing risks are commonly observed in engineering fields and can bring challenges to time-to-event data modeling when the application scenarios are complicated.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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