2026
Learning Hyperspherical Time–Frequency Representations for Time-Series Out-of-Distribution Detection
IJCAI 2026
Out-of-distribution (OOD) detection for time-series data remains comparatively underexplored compared to vision and language, with a limited principled understanding of how supervised time-series representations can be leveraged for reliable detection under distributional shifts. This work formulate