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cs.LG2026
Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse
Xinyu Zhao, Nikita Karagodin, Hamed Hassani +3
While many approaches to improve VQ-VAE performance focus on codebook size and utilization, the effect of dimensional collapse, where trained VQ-VAE representations live in an extr…
cs.LG2023★ 1 cited
Score-Based Methods for Discrete Optimization in Deep Learning
Eric Lei, Arman Adibi, Hamed Hassani
Discrete optimization problems often arise in deep learning tasks, despite the fact that neural networks typically operate on continuous data. One class of these problems involve o…