Karsten Borgwardt

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Alex SmolaBoson AIVerified email at smola.org
Arthur GrettonGatsby Computational Neuroscience Unit and DeepmindVerified email at gatsby.ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH ZürichVerified email at tuebingen.mpg.de
Hans-Peter KriegelProfessor für Informatik, Ludwig-Maximilians-University MunichVerified email at dbs.ifi.lmu.de
Oliver StegleGerman Cancer Research Center (DKFZ) & EMBL HeidelbergVerified email at dkfz.de
Bastian RieckAIDOS Lab, Institute of AI for Health, Helmholtz Zentrum MünchenVerified email at helmholtz-muenchen.de
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Detlef WeigelMax Planck Institute for Biology TübingenVerified email at weigelworld.org
Dominik G. GrimmProfessor of Bioinformatics at TUM Campus Straubing, HSWTVerified email at hswt.de
Christoph LippertProfessor, Hasso Plattner Institute, Universität PotsdamVerified email at hpi.de
Mahito SugiyamaAssociate Professor, National Institute of InformaticsVerified email at nii.ac.jp
Felipe Llinares-LópezGoogle Research, Brain TeamVerified email at google.com
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Risi KondorAssociate Professor, The University of ChicagoVerified email at cs.uchicago.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
Chloé-Agathe AzencottMines ParisTechVerified email at mines-paristech.fr
Barbara RakitschBosch Center for AIVerified email at de.bosch.com
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Cheng Soon OngData61, CSIRO, CanberraVerified email at anu.edu.au

Karsten Borgwardt

Director, Max Planck Institute of Biochemistry

Verified email at biochem.mpg.de - Homepage

Machine Learning Systems Biology Data Mining Bioinformatics Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A kernel two-sample test A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola The Journal of Machine Learning Research 13 (1), 723-773, 2012	4489	2012
A kernel method for the two-sample-problem A Gretton, K Borgwardt, M Rasch, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	1998	2006
Weisfeiler-lehman graph kernels. N Shervashidze, P Schweitzer, EJ Van Leeuwen, K Mehlhorn, ... Journal of Machine Learning Research 12 (9), 2011	1947	2011
Correcting sample selection bias by unlabeled data J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola Advances in neural information processing systems 19, 2006	1901	2006
Integrating structured biological data by kernel maximum mean discrepancy KM Borgwardt, A Gretton, MJ Rasch, HP Kriegel, B Schölkopf, AJ Smola Bioinformatics 22 (14), e49-e57, 2006	1354	2006
Graph kernels SVN Vishwanathan, NN Schraudolph, R Kondor, KM Borgwardt Journal of Machine Learning Research 11, 1201-1242, 2010	1301	2010
Shortest-path kernels on graphs KM Borgwardt, HP Kriegel Fifth IEEE international conference on data mining (ICDM'05), 8 pp., 2005	1173	2005
Protein function prediction via graph kernels KM Borgwardt, CS Ong, S Schönauer, SVN Vishwanathan, AJ Smola, ... Bioinformatics 21 (suppl_1), i47-i56, 2005	1085	2005
Efficient graphlet kernels for large graph comparison N Shervashidze, SVN Vishwanathan, T Petri, K Mehlhorn, K Borgwardt Artificial intelligence and statistics, 488-495, 2009	1059	2009
Whole-genome sequencing of multiple Arabidopsis thaliana populations J Cao, K Schneeberger, S Ossowski, T Günther, S Bender, J Fitz, ... Nature genetics 43 (10), 956-963, 2011	1046	2011
1,135 genomes reveal the global pattern of polymorphism in Arabidopsis thaliana C Alonso-Blanco, J Andrade, C Becker, F Bemm, J Bergelson, ... Cell 166 (2), 481-491, 2016	998	2016
Spontaneous epigenetic variation in the Arabidopsis thaliana methylome C Becker, J Hagmann, J Müller, D Koenig, O Stegle, K Borgwardt, ... Nature 480 (7376), 245-249, 2011	713	2011
Covariate shift by kernel mean matching A Gretton, A Smola, J Huang, M Schmittfull, K Borgwardt, B Schölkopf Dataset shift in machine learning 3 (4), 5, 2009	664	2009
Epigenomic diversity in a global collection of Arabidopsis thaliana accessions T Kawakatsu, SSC Huang, F Jupe, E Sasaki, RJ Schmitz, MA Urich, ... Cell 166 (2), 492-505, 2016	533	2016
The genome of the simian and human malaria parasite Plasmodium knowlesi A Pain, U Böhme, AE Berry, K Mungall, RD Finn, AP Jackson, T Mourier, ... Nature 455 (7214), 799-803, 2008	464	2008
Feature Selection via Dependence Maximization. L Song, A Smola, A Gretton, J Bedo, K Borgwardt Journal of Machine Learning Research 13 (5), 2012	412	2012
Supervised feature selection via dependence estimation L Song, A Smola, A Gretton, KM Borgwardt, J Bedo Proceedings of the 24th international conference on Machine learning, 823-830, 2007	408	2007
Arabidopsis Defense against Botrytis cinerea: Chronology and Regulation Deciphered by High-Resolution Temporal Transcriptomic Analysis O Windram, P Madhou, S McHattie, C Hill, R Hickman, E Cooke, ... The Plant Cell 24 (9), 3530-3557, 2012	342	2012
The evaluation of tools used to predict the impact of missense variants is hindered by two types of circularity DG Grimm, CA Azencott, F Aicheler, U Gieraths, DG MacArthur, ... Human mutation 36 (5), 513-523, 2015	312	2015
Fast subtree kernels on graphs N Shervashidze, K Borgwardt Advances in neural information processing systems, 1660-1668, 2009	310	2009

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