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Ole Winther
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Ole's P1 Publications
SweetBERT: exploring BERT-based models for IUPAC glycan nomenclature modeling
Irene Rubia-Rodríguez, Henrik Nielsen, Garry P. Gippert, Kristian Barrett, Bernard Henrissat, Ole Winther
Predicting the subcellular location of prokaryotic proteins with DeepLocPro
Jaime Moreno, Henrik Nielsen, Ole Winther, Felix Teufel
Geometry Fidelity for Spherical Images (Book chapter/contribution to anthology)
Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar Gonzalez-Franco, Andrea Colaco
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
Can large language models reason about medical questions?
Valentin Liévin, Christoffer E. Hother, Andreas G. Motzfeldt, Ole Winther
RNA trafficking and subcellular localization—a review of mechanisms, experimental and predictive methodologies
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
Mathias Schreiner, Ole Winther, Simon Olsson
GraphPart: homology partitioning for biological sequence analysis
Felix Teufel, Magnús H. Gíslason, José J. A. Armenteros, Alexander R. Johansen, Ole Winther, Henrik Nielsen
Explainable Image Quality Assessments in Teledermatological Photography
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
DermX: An end-to-end framework for explainable automated dermatological diagnosis
Raluca Jalaboi, Frederik Faye, Mauricio Orbes-Arteaga, Dan Jørgensen, Ole Winther, Alfiia Galimzianova
DeepPeptide predicts cleaved peptides in proteins using conditional random fields
Felix Teufel, Jan C. Refsgaard, Christian T. Madsen, Carsten Stahlhut, Mads Grønborg, Ole Winther, Dennis Madsen
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Giorgio Giannone, Akash Srivastava, Ole Winther, Faez Ahmed
Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning
Marc Horlacher, Nils Wagner, Lambert Moyon, Klara Kuret, Nicolas Goedert, Marco Salvatore, Jernej Ule, Julien Gagneur, Ole Winther, Annalisa Marsico
Variational open-domain question answering
Valentin Liévin, Andreas G. Motzfeldt, Ida R. Jensen, Ole Winther
Image-free Classifier Injection for Zero-Shot Classification
Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zenyep Akata
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica
Transition1x – a dataset for building generalizable reactive machine learning potentials
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Jonas Busk, Ole Winther
NeuralNEB—neural networks can find reaction paths fast
Mathias Schreiner, Arghya Bhowmik, Tejs Vegge, Peter B. Jørgensen, Ole Winther
DeepLoc 2.0: multi-label subcellular localization prediction using protein language models
Vineet Thumuluri, José J. A. Armenteros, Alexander R. Johansen, Henrik Nielsen, Ole Winther
Explainability of Convolutional Neural Networks for Dermatological Diagnosis
Raluca Jalaboi, Mauricio O. Arteaga, Dan R. Jørgensen, Ionela Manole, Oana I. Bozdog, Andrei Chiriac, Ole Winther, Alfiia Galimzianova