27 citations · 80 across the 96 of their papers we have counts for
Showing 2026 · cs.LGShow all
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cs.LG2026
Are We Overthinking One-Step Generation?
Woobin Park, Jaeyeon Kim, Yilun Du +2
Diffusion and flow matching are now dominant frameworks for generative modeling in continuous domains, but they typically require multiple network evaluations at inference. This ha…
cs.LG2026
I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals
Cheng He, Kunyu Peng, Shangen Han +3
Cross-subject EEG stress detection remains challenging because discriminative stress-related patterns are both subject-dependent and frequency-specific. Conventional Riemannian met…
cs.LG2026
Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
Kening Wang, Di Wen, Yufan Chen +6
Automatic sleep staging is a multimodal learning problem involving heterogeneous physiological signals such as EEG and EOG, which often suffer from domain shifts across institution…