Sugato Basu

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Raymond MooneyProfessor of Computer Science, University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignZweryfikowany adres z illinois.edu
Mikhail BilenkoGoogle DeepMindZweryfikowany adres z google.com
Ian DavidsonProfessor of Computer Science, University of California - DavisZweryfikowany adres z cs.ucdavis.edu
Pradyumna NarayanaGoogleZweryfikowany adres z google.com
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraZweryfikowany adres z cs.ucsb.edu
Xin Eric WangAssistant Professor, University of California, Santa CruzZweryfikowany adres z ucsc.edu
Kiri WagstaffZweryfikowany adres z wkiri.com
Nur ToubaProfessor of Electrical and Computer Engineering, University of Texas at AustinZweryfikowany adres z ece.utexas.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsZweryfikowany adres z utexas.edu
Christos FaloutsosCMUZweryfikowany adres z cs.cmu.edu
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryZweryfikowany adres z llnl.gov
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityZweryfikowany adres z eliassi.org
Hanghang TongUniversity of Illinois at Urbana-ChampaignZweryfikowany adres z illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityZweryfikowany adres z andrew.cmu.edu
Wanrong ZhuAdobe ResearchZweryfikowany adres z adobe.com
Brian KulisAssociate Professor at Boston University & Amazon ScholarZweryfikowany adres z bu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonZweryfikowany adres z cs.utexas.edu
Biswanath PandaGoogle Inc.Zweryfikowany adres z google.com

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Sugato Basu

Distinguished Scientist at Google

Zweryfikowany adres z google.com - Strona główna

Machine Learning/Deep Learning Foundation Models Privacy and Personalization Multimodal Understanding Unsupervised/Semi-supe


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Semi-supervised clustering by seeding S Basu, A Banerjee, RJ Mooney Proceedings of the nineteenth international conference on machine learning …, 2002	1412	2002
Integrating constraints and metric learning in semi-supervised clustering M Bilenko, S Basu, RJ Mooney Proceedings of the twenty-first international conference on Machine learning, 11, 2004	1238	2004
A probabilistic framework for semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1142	2004
Active semi-supervision for pairwise constrained clustering S Basu, A Banerjee, RJ Mooney Proceedings of the 2004 SIAM international conference on data mining, 333-344, 2004	879	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff Chapman and Hall/CRC, 2008	764	2008
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005	679	2005
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	576	2012
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo Proceedings of the VLDB Endowment 2 (2), 1426-1437, 2009	396	2009
Model-based overlapping clustering A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	312	2005
Training-free structured diffusion guidance for compositional text-to-image synthesis W Feng, X He, TJ Fu, V Jampani, A Akula, P Narayana, S Basu, XE Wang, ... arXiv preprint arXiv:2212.05032, 2022	290	2022
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu European conference on principles of data mining and knowledge discovery …, 2006	288	2006
Topic models over text streams: A study of batch and online unsupervised learning A Banerjee, S Basu Proceedings of the 2007 SIAM International Conference on Data Mining, 431-436, 2007	192	2007
Layoutgpt: Compositional visual planning and generation with large language models W Feng, W Zhu, T Fu, V Jampani, A Akula, X He, S Basu, XE Wang, ... Advances in Neural Information Processing Systems 36, 2024	181	2024
Multi-way clustering on relation graphs A Banerjee, S Basu, S Merugu Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007	180	2007
Predicting bounce rates in sponsored search advertisements D Sculley, RG Malkin, S Basu, RJ Bayardo Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	147	2009
A survey of clustering with instance level constraints I Davidson, S Basu ACM Transactions on Knowledge Discovery from data 1 (1-41), 2-42, 2007	145	2007
Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the ICML-2003 workshop on the continuum from labeled to …, 2003	126	2003
Probabilistic semi-supervised clustering with constraints S Basu, M Bilenko, A Banerjee, R Mooney	106	2006
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005	96	2005
When is constrained clustering beneficial, and why KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006	92	2006

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