Winther, Ole

Can large language models reason about medical questions?

Liévin, V., Hother, C. E., Motzfeldt, A. G., & Winther, O. (2022) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 343

Can large language models reason about medical questions?

Liévin, V., Hother, C. E., Motzfeldt, A. G., & Winther, O. (2024) · Patterns

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 343

A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning

Fraccaro, M., Kamronn, S., Paquet, U., & Winther, O. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGaussian Processes and Bayesian Inference

Cited by 229

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

Høie, M. H., Gade, F. S., Johansen, J. M., Würtzen, C., Winther, O., Nielsen, M., & Marcatili, P. (2024) · Frontiers in Immunology

vaccines and immunoinformatics approachesProtein Structure and Dynamics

Cited by 151

DiscoTope-3.0 - Improved B-cell epitope prediction using AlphaFold2 modeling and inverse folding latent representations

Høie, M. H., Gade, F. S., Johansen, J. M., Würtzen, C., Winther, O., Nielsen, M., & Marcatili, P. (2023) · Frontiers in Immunology

vaccines and immunoinformatics approachesProtein Structure and Dynamics

Cited by 151

ThoughtSource: A central hub for large language model reasoning data

Ott, S., Hebenstreit, K., Liévin, V., Hother, C. E., Moradi, M., Mayrhauser, M., Praas, R., Winther, O., & Samwald, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 65

Forecasting Mood in Bipolar Disorder From Smartphone Self-assessments: Hierarchical Bayesian Approach.

Busk, J., Faurholt-Jepsen, M., Frost, M., Bardram, J. E., Vedel Kessing, L., & Winther, O. (2020) · JMIR mhealth and uhealth

Mental Health Research TopicsBipolar Disorder and Treatment

Cited by 58

Transfer learning identifies sequence determinants of regulatory element accessibility

Salvatore, M., Horlacher, M., Marsico, A., Winther, O., & Andersson, R. (2022) · NAR Genomics and Bioinformatics

Genomics and Chromatin DynamicsMachine Learning in Bioinformatics

Cited by 13

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

Salvatore, M., Horlacher, M., Marsico, A., Winther, O., & Andersson, R. (2023) · NAR Genomics and Bioinformatics

Genomics and Chromatin DynamicsMachine Learning in Bioinformatics

Cited by 13