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Ушбу иш иқтибос қилган ишлар

28 та иш

Иш: Generative Pre-Training from Molecules

  1. MizAR 60 for Mizar 50

    Jakubův, Jan, Chvalovský, Karel, Goertzel, Zarathustra +6

    Препринт202327 иқтибос
    ABI

  2. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

    David Weininger

    Мақола198819 иқтибос
    ABI

  3. AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

    Kefallinos, Dionysios, Alexandris, Georgios, Maras, Alexis +5

    Препринт201811 иқтибос
    ABI

  4. HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

    Yinhan Liu, Myle Ott, Heinisch, Barbara +1

    Препринт20198 иқтибос
    ABI

  5. PubChem 2019 update: improved access to chemical data

    Sunghwan Kim, Jie Chen, Tiejun Cheng +10

    Мақола20187 иқтибос
    ABI

  6. MoleculeNet: a benchmark for molecular machine learning

    Zhenqin Wu, Bharath Ramsundar, Evan N. Feinberg +5

    Мақола20176 иқтибос
    ABI

  7. Сарлавҳасиз

    Rico Sennrich, Barry Haddow, Alexandra Birch

    Мақола4 иқтибос
    ABI

  8. Transformers: State-of-the-Art Natural Language Processing

    Thomas Wolf, Lysandre Debut, Victor Sanh +19

    Мақола20204 иқтибос
    ABI

  9. Extended-Connectivity Fingerprints

    David Rogers, Mathew Hahn

    Мақола20103 иқтибос
    ABI

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

    Marwin Segler, Thierry Kogej, Christian Tyrchan +1

    Мақола20173 иқтибос
    ABI

  11. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

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

    Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

    Препринт20203 иқтибос
    ABI

  13. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  14. Quantifying the chemical beauty of drugs

    G. Richard Bickerton, Gaia V. Paolini, Jérémy Besnard +2

    Мақола20122 иқтибос
    ABI

  15. Is Multitask Deep Learning Practical for Pharma?

    Bharath Ramsundar, Bowen Liu, Zhenqin Wu +4

    Мақола20172 иқтибос
    ABI

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

    Mostapha Benhenda

    Препринт20172 иқтибос
    ABI

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

    Anvita Gupta, Alex T. Müller, Berend J. H. Huisman +2

    Мақола20172 иқтибос
    ABI

  18. GuacaMol: Benchmarking Models for de Novo Molecular Design

    Nathan Brown, Marco Fiscato, Marwin Segler +1

    Мақола20192 иқтибос
    ABI

  19. Decoupled Weight Decay Regularization

    Ilya Loshchilov, Frank Hutter

    Препринт20172 иқтибос
    ABI

  20. The Curious Case of Neural Text Degeneration

    Ari Holtzman, Jan Buys, Li Du +2

    Препринт20192 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

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

    Pavel Karpov, Guillaume Godin, Igor V. Tetko

    Мақола20202 иқтибос
    ABI

  24. Analyzing Learned Molecular Representations for Property Prediction

    Kevin Yang, Kyle L. Swanson, Wengong Jin +12

    Препринт20192 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI