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05.11.2025: Scalable Molecular Generation, Latent Variable Transformers, and Advances in RNA Structure Prediction
This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
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0:00 Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges (https://arxiv.org/pdf/2511.02622.pdf)
5:32 STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation (https://arxiv.org/pdf/2511.02769.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader
View all episodes
By This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
----------------------------------------
0:00 Machine Learning for RNA Secondary Structure Prediction: a review of current methods and challenges (https://arxiv.org/pdf/2511.02622.pdf)
5:32 STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation (https://arxiv.org/pdf/2511.02769.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader