Author

Seunghyun Ham

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Preprint Aug 2026

TESLA: Taylor Expansion of Sinusoidal Learnable Activations

TESLA, an activation defined as a learnable combination of sine and cosine terms, enabling explicit control over polynomial degree and selective amplification of high-order components is proposed, indicating that activation-level degree control transfers to more general vision workloads.

Daehwa Ko, Jae-Hwan Kim, Seunghyun Ham et al. · 0 citations