Ole Winther

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	All	Since 2016
Citations	10939	7438
h-index	48	40
i10-index	122	91

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Co-authors

Søren Kaae SønderbyVerified email at bio.ku.dk
Casper Kaae SønderbyResearch Scientist, Google BrainVerified email at google.com
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
José Juan Almagro ArmenterosPostdoc, University of CopenhagenVerified email at cpr.ku.dk
Frederik Otzen BaggerUniversity of Cambridge and EMBL-EBIVerified email at ebi.ac.uk
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenVerified email at di.ku.dk
Albin SandelinProfessor, The Bioinformatics Centre, Department of Biology & BRIC, Copenhagen UniversityVerified email at binf.ku.dk
Nicolas RapindenmarkVerified email at deloitte.dk
Ricardo HenaoDuke UniversityVerified email at duke.edu
Marco FraccaroTechnical University of DenmarkVerified email at dtu.dk
Henrik NielsenAssociate Professor, Department of Health Technology, Technical University of DenmarkVerified email at bioinformatics.dtu.dk
Bo PorseThe Finsen Laboratory, Rigshospitalet, University of CopenhagenVerified email at finsenlab.dk
Maria Faurholt-JepsenDepartment of Psychiatry, Copenhagen, DenmarkVerified email at faurholt-jepsen.com
Finn Cilius NIelsenProfessorVerified email at regionh.dk
Jakob E. BardramProfessor in Computer Science, Technical University of DenmarkVerified email at dtu.dk
Lars Vedel KessingProfessor of Psychiatry, Psychiatric Center Copenhagen and University of Copenhagen, DenmarkVerified email at regionh.dk
Eivind ValenGroup Leader, University of BergenVerified email at fas.harvard.edu
Troels MarstrandPh.D, Computational biologist, LEO-pharmaVerified email at leo-pharma.com
Gunnar von HeijneStockholm UniversityVerified email at dbb.su.se

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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Autoencoding beyond pixels using a learned similarity metric ABL Larsen, SK Sønderby, H Larochelle, O Winther International conference on machine learning, 1558-1566, 2016	1184	2016
SignalP 5.0 improves signal peptide predictions using deep neural networks JJA Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, O Winther, ... Nature biotechnology 37 (4), 420-423, 2019	819	2019
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	758	2007
Ladder variational autoencoders CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther arXiv preprint arXiv:1602.02282, 2016	524*	2016
The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line H Suzuki, ARR Forrest, E Van Nimwegen, CO Daub, PJ Balwierz, ... Nature genetics 41 (5), 553, 2009	348	2009
Auxiliary deep generative models L Maaløe, CK Sønderby, SK Sønderby, O Winther International conference on machine learning, 1445-1453, 2016	333	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	323	2017
Gaussian processes for classification: Mean-field algorithms M Opper, O Winther Neural computation 12 (11), 2655-2684, 2000	307	2000
Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther arXiv preprint arXiv:1605.07571, 2016	232	2016
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	227	2006
Bayesian non-negative matrix factorization MN Schmidt, O Winther, LK Hansen International Conference on Independent Component Analysis and Signal …, 2009	226	2009
Expectation Consistent Approximate Inference. M Opper, O Winther, MJ Jordan Journal of Machine Learning Research 6 (12), 2005	218	2005
A Bayesian approach to on-line learning M Opper, O Winther On-line learning in neural networks, 363-378, 1998	209	1998
Mean-field approaches to independent component analysis PAFR Højen-Sørensen, O Winther, LK Hansen Neural Computation 14 (4), 889-918, 2002	198	2002
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	192	2009
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	173	2016
Genome-wide detection and analysis of hippocampus core promoters using DeepCAGE E Valen, G Pascarella, A Chalk, N Maeda, M Kojima, C Kawazu, M Murata, ... Genome research 19 (2), 255-265, 2009	148	2009
A disentangled recognition and nonlinear dynamics model for unsupervised learning M Fraccaro, S Kamronn, U Paquet, O Winther arXiv preprint arXiv:1710.05741, 2017	135	2017
Gaussian processes and SVM: Mean field and leave-one-out AJ Smola, P Bartlett, B Schölkopf, D Schuurmans MIT press, 2000	133*	2000
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	126	2019

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