Ole Winther

University of Copenhagen — Denmark

Computer Science · Physical Sciences

63h-index25.9kcitations379works32.72yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(36), Machine Learning in Bioinformatics(34), Topic Modeling(31), Neural Networks and Applications(28), Blind Source Separation Techniques(26)

Publications378 total

Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training
arXiv (Cornell University)·2025Open Access
NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model
BMC Bioinformatics·2025· 2 citedOpen Access
Bi-Axial Transformers: Addressing the Increasing Complexity of EHR Classification
arXiv (Cornell University)·2025Open Access
Temporal Variational Implicit Neural Representations
arXiv (Cornell University)·2025Open Access
SpatialFormer: Universal Spatial Representation Learning from Subcellular Molecular to Multicellular Landscapes
2025Open Access
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
Bioinformatics·2024· 35 citedOpen Access
Generative Diffusion Models for Sequential Recommendations
arXiv (Cornell University)·2024Open Access
Geometry Fidelity for Spherical Images
Lecture notes in computer science·2024
Physician Level Assessment of Hirsute Women and of Their Eligibility for Laser Treatment With Deep Learning
Lasers in Surgery and Medicine·2024· 1 citedOpen Access
Geometry Fidelity for Spherical Images
arXiv (Cornell University)·2024Open Access
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models
Nucleic Acids Research·2024· 125 citedOpen Access
Can large language models reason about medical questions?
Patterns·2024· 224 citedOpen Access
CURATOR: Building Robust Machine Learning Potentials for Atomistic Simulations Autonomously with Batch Active Learning
2024· 5 citedOpen Access
DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations
Frontiers in Immunology·2024· 100 citedOpen Access
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning
Bioinformatics·2024· 15 citedOpen Access
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
2024· 16 citedOpen Access
Coherent energy and force uncertainty in deep learning force fields
arXiv (Cornell University)·2023· 8 citedOpen Access
BEND: Benchmarking DNA Language Models on biologically meaningful tasks
arXiv (Cornell University)·2023· 27 citedOpen Access
DeepLocRNA: An Interpretable Deep Learning Model for Predicting RNA Subcellular Localization with domain-specific transfer-learning
2023Open Access
DiffEnc: Variational Diffusion with a Learned Encoder
arXiv (Cornell University)·2023· 1 citedOpen Access
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Frequent Co-authors

Henrik Nielsen(12), Casper Kaae Sønderby(11), Søren Kaae Sønderby(11), José Juan Almagro Armenteros(10), Morten Nielsen(5), Alexander Rosenberg Johansen(4), Paolo Marcatili(4), Anders Krogh(4), Frederik Otzen Bagger(4), Lars Kai Hansen(4), M. Fraccaro(4), Ulrich Paquet(4), Konstantinos D. Tsirigos(3), Søren Brunak(3), Gunnar von Heijne(3), Vanessa Jurtz(3), Manfred Opper(3), Thomas Nordahl Petersen(2), Felix Teufel(2), Jeppe Hallgren(2)