Publications per year
Publications per year
Personal profile
Profile
Ole Winther’s (OW) research subject is machine learning. Machine learning combines statistical modelling and artificial intelligence, drawing inspiration from neuroscience for model building and often deals with large amounts of data. OW works with methods development and applications in bioinformatics (computer-driven large scale biological data analysis), neuroinformatics, and recommender systems. For example, collaborative filtering can be used to learn personalized movie recommendations from data bases of the users' taste. The fundamental methods have many application in the information society and modern data-driven sciences. OW has published 100+ scientific papers, has supervised/is currently supervising 15+ PhD-students plus 40+ master projects and is collaborating with companies and research institutions such as Siemens Windpower, GreenGoEnergy, Tradeshift and Biotech Research and Innovation Centre (BRIC), University of Copenhagen (KU). Ole Winther (Cand. Scient. physics, Bac. computer science, 94 and PhD physics 98, KU) has been post doc at Lund University, Sweden and Center for Biological Sequence Analyse, Technical University of Denmark (DTU). OW is professor at Cognitive Systems (CogSys), DTU Compute, DTU and group leader in Bioinformatics, KU. More information is available from http://cogsys.compute.dtu.dk/staff/winther/ .
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Keywords
- User defined:
- neuroinformatics
- Bioinformatics
- machine learning
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Publications
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Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giannone, G., Srivastava, A., Winther, O. & Ahmed, F., 2023, (Accepted/In press) Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). 32 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile3 Downloads (Pure) -
Deep integrative models for large-scale human genomics
Sigurdsson, A. I., Louloudis, I., Banasik, K., Westergaard, D., Winther, O., Lund, O., Ostrowski, S. R., Erikstrup, C., Pedersen, O. B. V., Nyegaard, M., Genomic Consortium, DBDS., Brunak, S., Vilhjálmsson, B. J. & Rasmussen, S., 2023, In: Nucleic Acids Research. 51, 12, 16 p., e67.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile29 Downloads (Pure) -
DeepPeptide predicts cleaved peptides in proteins using conditional random fields
Teufel, F., Refsgaard, J. C., Madsen, C. T., Stahlhut, C., Grønborg, M., Winther, O. & Madsen, D., 2023, In: Bioinformatics. 39, 10, 6 p., btad616.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Deorphanizing Peptides Using Structure Prediction
Teufel, F., Refsgaard, J. C., Kasimova, M. A., Deibler, K., Madsen, C. T., Stahlhut, C., Grønborg, M., Winther, O. & Madsen, D., 2023, In: Journal of Chemical Information and Modeling. 63, 9, p. 2651–2655Research output: Contribution to journal › Letter › peer-review
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DermX: An end-to-end framework for explainable automated dermatological diagnosis
Jalaboi, R., Faye, F., Orbes-Arteaga, M., Jørgsen, D., Winther, O. & Galimzianova, A., 2023, In: Medical Image Analysis. 83, 12 p., 102647.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile54 Downloads (Pure)
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Denoising Diffusion Models
Nielsen, B. M. G., Winther, O. & Schmidt, M. N.
01/11/2022 → 31/10/2025
Project: PhD
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Equivariant deep learning for network data
Hansen, A. A., Feragen, A., Winther, O. & Calissano, A.
01/01/2022 → 06/05/2025
Project: PhD
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POP-NETS: Learning from Populations of Networks
Feragen, A., Hansen, A. A. & Winther, O.
01/01/2022 → 31/12/2024
Project: Research
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Improving Deep Learning Explainability with Interpretable Outputs and Representations
Christensen, A., Winther, O. & Akata, Z.
01/12/2021 → 27/03/2025
Project: PhD
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Machine learning for electronic scale inverse design of enzymatic catalysts
Cornet, F. R. J., Schmidt, M. N., Bhowmik, A. & Winther, O.
01/10/2021 → 30/09/2024
Project: PhD
Activities
- 2 Conference presentations
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Learning the Language of Life
Henrik Nielsen (Guest lecturer), Jose Juan Almagro Armenteros (Guest lecturer), Alexander Rosenberg Johansen (Guest lecturer) & Ole Winther (Guest lecturer)
27 Nov 2020Activity: Talks and presentations › Conference presentations
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Learning the language of life
Jose Juan Almagro Armenteros (Guest lecturer), Henrik Nielsen (Other), Alexander Rosenberg Johansen (Other) & Ole Winther (Other)
25 Jul 2019Activity: Talks and presentations › Conference presentations
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