most citedSupervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2026

Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction

Yifan Xue, Srimukh Prasad Veccham, Saee Paliwal +2

Accurate prediction of absorption, distribution, metabolism, and excretion (ADME) properties is critical to drug discovery, but remains challenging because ADME endpoints are noisy…

cs.LG2019★ 1 cited

Supervised Vector Quantized Variational Autoencoder for Learning Interpretable Global Representations

Yifan Xue, Michael Ding, Xinghua Lu

Learning interpretable representations of data remains a central challenge in deep learning. When training a deep generative model, the observed data are often associated with cert…