Ole Winther

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Casper Kaae SønderbyFounder@twig.energy, ML/DL Research ScientistVerified email at twig.energy
Søren Kaae SønderbyVerified email at bio.ku.dk
José Juan Almagro ArmenterosPostdoc, Stanford UniversityVerified email at stanford.edu
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Lars MaaløeCo-Founder & CTO at Corti | Adj. Assoc. Professor of Machine LearningVerified email at corti.ai
Frederik Otzen BaggerUniversity of Cambridge and EMBL-EBIVerified email at ebi.ac.uk
Gunnar von HeijneStockholm UniversityVerified email at dbb.su.se
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenVerified email at di.ku.dk
Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Henrik NielsenAssociate Professor, Department of Health Technology, Technical University of DenmarkVerified email at dtu.dk
Konstantinos Tsirigos, PhD Bioinforma...European Bioinformatics instituteVerified email at ebi.ac.uk
Marco FraccaroTechnical University of DenmarkVerified email at dtu.dk
Thomas Nordahl PetersenDTU Food, National Food Institute, DenmarkVerified email at food.dtu.dk
Nicolas RapindenmarkVerified email at deloitte.dk
Ricardo HenaoDuke UniversityVerified email at duke.edu
Albin SandelinThe Bioinformatics Centre, Department of Biology & BRIC, Copenhagen UniversityVerified email at binf.ku.dk
Finn Cilius NIelsenProfessorVerified email at regionh.dk
Jakob E. BardramProfessor in Computer Science, Technical University of DenmarkVerified email at dtu.dk
Maria Faurholt-JepsenDepartment of Psychiatry, Copenhagen, DenmarkVerified email at faurholt-jepsen.com
Lars Vedel KessingProfessor of Psychiatry, Psychiatric Center Copenhagen and University of Copenhagen, DenmarkVerified email at regionh.dk

Ole Winther

Biology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of Denmark

Verified email at bio.ku.dk - Homepage

machine learning bioinformatics deep learning artificial intelligence


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SignalP 5.0 improves signal peptide predictions using deep neural networks JJA Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, O Winther, ... Nat Biotechnol 37 (4), 420-423, 2019	2065	2019
Autoencoding beyond pixels using a learned similarity metric ABL Larsen, SK Sønderby, H Larochelle, O Winther International conference on machine learning, 1558-1566, 2016	1666	2016
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update JC Bryne, E Valen, MHE Tang, T Marstrand, O Winther, I da Piedade, ... Nucleic acids research 36 (suppl_1), D102-D106, 2007	786	2007
Ladder variational autoencoders CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther Advances in neural information processing systems 29, 2016	731*	2016
DeepLoc: prediction of protein subcellular localization using deep learning JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ... Bioinformatics 33 (21), 3387-3395, 2017	621	2017
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line ROS Center, FANTOM Consortium Nature genetics 41 (5), 553, 2009	458	2009
Auxiliary deep generative models L Maaløe, CK Sønderby, SK Sønderby, O Winther International conference on machine learning, 1445-1453, 2016	413	2016
Gaussian processes for classification: Mean-field algorithms M Opper, O Winther Neural computation 12 (11), 2655-2684, 2000	314	2000
Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther Advances in neural information processing systems 29, 2016	313	2016
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning MS Klausen, MC Jespersen, H Nielsen, KK Jensen, VI Jurtz, ... Proteins: Structure, Function, and Bioinformatics 87 (6), 520-527, 2019	297	2019
Detecting sequence signals in targeting peptides using deep learning JJA Armenteros, M Salvatore, O Emanuelsson, O Winther, G Von Heijne, ... Life science alliance 2 (5), 2019	280	2019
Expectation Consistent Approximate Inference. M Opper, O Winther, MJ Jordan Journal of Machine Learning Research 6 (12), 2005	255	2005
Bayesian non-negative matrix factorization MN Schmidt, O Winther, LK Hansen International Conference on Independent Component Analysis and Signal …, 2009	246	2009
Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae B Regenberg, T Grotkjær, O Winther, A Fausbøll, M Åkesson, C Bro, ... Genome biology 7 (11), 1-13, 2006	244	2006
BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis FO Bagger, D Sasivarevic, SH Sohi, LG Laursen, S Pundhir, CK Sønderby, ... Nucleic acids research 44 (D1), D917-D924, 2016	232	2016
A Bayesian approach to on-line learning M Opper, O Winther Cambridge University Press, 1999	231	1999
A disentangled recognition and nonlinear dynamics model for unsupervised learning M Fraccaro, S Kamronn, U Paquet, O Winther Advances in neural information processing systems 30, 2017	221	2017
RSK is a principal effector of the RAS-ERK pathway for eliciting a coordinate promotile/invasive gene program and phenotype in epithelial cells U Doehn, C Hauge, SR Frank, CJ Jensen, K Duda, JV Nielsen, ... Molecular cell 35 (4), 511-522, 2009	210	2009
Mean-field approaches to independent component analysis PA Højen-Sørensen, O Winther, LK Hansen Neural Computation 14 (4), 889-918, 2002	203	2002
Voice analysis as an objective state marker in bipolar disorder M Faurholt-Jepsen, J Busk, M Frost, M Vinberg, EM Christensen, ... Translational psychiatry 6 (7), e856-e856, 2016	157	2016

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