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cs.LG2025
Training-Free Vector Quantization via Gaussian VAEs
Tongda Xu, Wendi Zheng, Jiajun He +4
Vector-quantized variational autoencoders (VQ-VAEs) are discrete autoencoders that compress images into discrete tokens. However, they are difficult to train due to discretization.…
cs.LG2023★ 1 cited
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling
Zhanbei Cui, Yu Liao, Tongda Xu +1
With the development of gene sequencing technology, an explosive growth of gene data has been witnessed. And the storage of gene data has become an important issue. Traditional gen…