Kris Sankaran

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Susan P HolmesProfessor of Statistics, Stanford UniversityVerified email at stat.stanford.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
S. Karthik MukkavilliGroup Head of AI at Mercuria | Principal ScientistVerified email at mercuria.com
Julia FukuyamaAssistant Professor, Department of Statistics, Indiana University BloomingtonVerified email at fhcrc.org
Sasha LuccioniHugging FaceVerified email at huggingface.co
Lynn H. KaackHertie SchoolVerified email at hertie-school.org
David RolnickMcGill University, Mila Quebec AI InstituteVerified email at cs.mcgill.ca
Nikola Milojevic-DupontMCC BerlinVerified email at mcc-berlin.net
Kelly KochanskiPhD, University of Colorado - BoulderVerified email at colorado.edu
Andrew RossPhD student, Harvard UniversityVerified email at g.harvard.edu
Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIVerified email at mit.edu
Anna Waldman-BrownMIT Industrial Performance CenterVerified email at alum.mit.edu
Benjamin CallahanAssociate Professor, NC State UniversityVerified email at ncsu.edu
Paul J McMurdiePrincipal Bioinformatics Scientist at D2G OncologyVerified email at d2g-oncology.com
Pratheepa JeganathanAssistant Professor, McMaster UniversityVerified email at mcmaster.ca
Anthony OrtizPrincipal Research Science Manager, Microsoft AI for GoodVerified email at microsoft.com
David RelmanStanford UniversityVerified email at stanford.edu
Robert ShaferProfessor of Medicine, Stanford UniversityVerified email at stanford.edu
Suzanne R. TamangStanford University School of MedicineVerified email at stanford.edu
Adolfo De UnánueEGobiernoyTP : Tec de MonterreyVerified email at tec.mx

Kris Sankaran

University of Wisconsin - Madison

Verified email at wisc.edu - Homepage

Statistics Visualization Multi-Omics Microbiome


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022	1263	2022
Bioconductor workflow for microbiome data analysis: from raw reads to community analyses BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes F1000Research 5, 1492, 2016	1064	2016
Highres-net: Recursive fusion for multi-frame super-resolution of satellite imagery M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ... arXiv preprint arXiv:2002.06460, 2020	128	2020
Sex-specific association between gut microbiome and fat distribution Y Min, X Ma, K Sankaran, Y Ru, L Chen, M Baiocchi, S Zhu Nature communications 10 (1), 2408, 2019	113	2019
Flow: A dataset and benchmark for floating waste detection in inland waters Y Cheng, J Zhu, M Jiang, J Fu, C Pang, P Wang, K Sankaran, O Onabola, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021	108	2021
HIV-1 protease, reverse transcriptase, and integrase variation SY Rhee, K Sankaran, V Varghese, MA Winters, CB Hurt, JJ Eron, ... Journal of virology 90 (13), 6058-6070, 2016	107	2016
Latent variable modeling for the microbiome K Sankaran, SP Holmes Biostatistics 20 (4), 599-614, 2019	93	2019
Microbiome composition modulates secondary metabolism in a multispecies bacterial community MG Chevrette, CS Thomas, A Hurley, N Rosario-Meléndez, K Sankaran, ... Proceedings of the National Academy of Sciences 119 (42), e2212930119, 2022	76	2022
Multidomain analyses of a longitudinal human microbiome intestinal cleanout perturbation experiment J Fukuyama, L Rumker, K Sankaran, P Jeganathan, L Dethlefsen, ... PLoS computational biology 13 (8), e1005706, 2017	76	2017
structSSI: simultaneous and selective inference for grouped or hierarchically structured data K Sankaran, S Holmes Journal of statistical software 59, 1-21, 2014	55	2014
Visualizing the consequences of climate change using cycle-consistent adversarial networks V Schmidt, A Luccioni, SK Mukkavilli, N Balasooriya, K Sankaran, ... arXiv preprint arXiv:1905.03709, 2019	54	2019
Tackling climate change with machine learning (2019) D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arxiv:1906.05433, 1906	51	1906
Demis Hassabis, John C D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... Platt, Felix Creutzig, Jennifer Chayes, and Yoshua Bengio. Tackling Climate …, 2019	50	2019
Artificial intelligence for climate change adaptation SM Cheong, K Sankaran, H Bastani Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1459, 2022	43	2022
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset A Janik, J Dodd, G Ifrim, K Sankaran, K Curran Medical imaging 2021: image processing 11596, 861-872, 2021	37	2021
Bioconductor workflow for microbiome data analysis: from raw reads to community analyses. F1000Res. 2016; 5: 1492 BJ Callahan, K Sankaran, JA Fukuyama, PJ McMurdie, SP Holmes	37	2020
Multitable methods for microbiome data integration K Sankaran, SP Holmes Frontiers in genetics 10, 627, 2019	36	2019
Tackling climate change with machine learning. arXiv 2019 D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... arXiv preprint arXiv:1906.05433, 1906	25	1906
Hierarchical importance weighted autoencoders CW Huang, K Sankaran, E Dhekane, A Lacoste, A Courville International Conference on Machine Learning, 2869-2878, 2019	24	2019
Machine learning for glacier monitoring in the Hindu Kush Himalaya S Baraka, B Akera, B Aryal, T Sherpa, F Shresta, A Ortiz, K Sankaran, ... arXiv preprint arXiv:2012.05013, 2020	18	2020

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