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arXiv Machine Learning By Richard Zhu, Kento Nishi

Evolutionary Curriculum Learning Improves Biological Sequence Modeling

Read the original on arXiv Machine Learning →

arXiv:2608. 00697v1 Announce Type: cross Abstract: Variational autoencoders (VAEs) trained on multiple sequence alignments (MSAs) have emerged as powerful generative models for biological sequences, with applications ranging from disease variant prediction to functional RNA design.

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