Ole Winther

Ole Winther

Professor with special responsibilities, Visiting professor, Professor MSO


  1. 2023
  2. Published

    Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

    Busk, J., Schmidt, M. N., Winther, Ole, Vegge, T. & Jørgensen, P. B., 2023, In: Physical Chemistry Chemical Physics. 25, p. 25828-25837 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs

    Einarson, K. A., Bendtsen, K. M., Li, K., Thomsen, M., Kristensen, N. R., Winther, Ole, Fulle, S., Clemmensen, L. & Refsgaard, H. H. F., 2023, In: ACS Omega. 8, 26, p. 23566-23578 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning

    Horlacher, M., Wagner, N., Moyon, L., Kuret, K., Goedert, N., Salvatore, Marco, Ule, J., Gagneur, J., Winther, Ole & Marsico, A., 2023, In: Genome Biology. 24, 1, 37 p., 180.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    DermX: An end-to-end framework for explainable automated dermatological diagnosis

    Jalaboi, R., Faye, F., Orbes-Arteaga, M., Jørgensen, D., Winther, Ole & Galimzianova, A., 2023, In: Medical Image Analysis. 83, 12 p., 102647.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Explainable Image Quality Assessments in Teledermatological Photography

    Jalaboi, R., Winther, Ole & Galimzianova, A., 2023, In: Telemedicine and e-Health. 29, 9, p. 1342-1348 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Variational Open-Domain Question Answering

    Liévin, V., Motzfeldt, A. G., Jensen, I. R. & Winther, Ole, 2023, In: Proceedings of Machine Learning Research. 202, p. 20950-20977 28 p.

    Research output: Contribution to journalConference articleResearchpeer-review

  8. Published

    Uncertainty-aware and explainable machine learning for early prediction of battery degradation trajectory

    Rieger, L. H., Flores, E., Nielsen, K. F., Norby, P., Ayerbe, E., Winther, Ole, Vegge, T. & Bhowmik, A., 2023, In: Digital Discovery. 2, 1, p. 112-122 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibility

    Salvatore, Marco, Horlacher, M., Marsico, A., Winther, Ole & Andersson, Robin, 2023, In: NAR Genomics and Bioinformatics. 5, 2, 10 p., 026.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Deep integrative models for large-scale human genomics

    Sigurdsson, Arnór Ingi, Louloudis, Ioannis, Banasik, Karina, Westergaard, David, Winther, Ole, Lund, O., Ostrowski, Sisse Rye, Erikstrup, C., Pedersen, Ole Birger Vesterager, Nyegaard, Mette, Brunak, Søren, Vilhjálmsson, B. & Rasmussen, Simon, 2023, In: Nucleic Acids Symposium Series. 51, 12, 16 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    DeepPeptide predicts cleaved peptides in proteins using conditional random fields

    Teufel, Felix Georg, Refsgaard, J. C., Madsen, C. T., Stahlhut, C., Grønborg, M., Winther, Ole & Madsen, D., 2023, In: Bioinformatics (Oxford, England). 39, 10, 6 p., btad616.

    Research output: Contribution to journalJournal articleResearchpeer-review

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