#machine learning
May 2026
Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse
Theoretical analysis predicts downstream performance as a function of warm-up length, enabling an adaptive criterion for switching from AE Warm-up to VQ-VAE training and empirically characterize how warm-up duration governs the achievable final loss.
Xinyu Zhao, N. Karagodin, Hamed Hassani et al.
· arXiv.org · 0 citations