Author

Stephan Sigg

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#artificial intelligence Preprint Oct 2026

PULSE: Personalized Opportunistic Learning for Wearable Devices

PULSE, an event-driven framework for personalized opportunistic learning that treats each encounter as an online collaboration decision, selecting either no interaction or a promising nearby peer, shows that selective opportunistic collaboration can provide effective personalization while limiting communication and res...

M. G. Campana, Dariush Salami, Hüseyin Yiğitler et al. · 0 citations

Jul 2026

StrideDiffusion: Accelerating Diffusion Models for Time-series Generation

Results show that spectral evolution provides a practical and principled signal for fast time-series diffusion sampling, and a training-free spectral-aware sampler that adaptively selects the denoising stride from band-level activity.

Du Yin, Estrid He, Julián Jerónimo Bañuelos et al. · arXiv.org · 0 citations