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Works cited by this work

28 works

Work: Generative Pre-Training from Molecules

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  10. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

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  11. Untitled

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  12. ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

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  13. Untitled

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  16. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?

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  17. Generative Recurrent Networks for <i>De Novo</i> Drug Design

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  18. GuacaMol: Benchmarking Models for de Novo Molecular Design

    Nathan Brown, Marco Fiscato, Marwin Segler +1

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  19. Decoupled Weight Decay Regularization

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  20. The Curious Case of Neural Text Degeneration

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  22. Untitled

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  23. Transformer-CNN: Swiss knife for QSAR modeling and interpretation

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  24. Analyzing Learned Molecular Representations for Property Prediction

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  25. Untitled

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