Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michael Kearns

Showing results (1-10 of 10) with videos related to

Pageof 1
Sort By:
Proceedings of the National Academy of Sciences of the United States of America|February 19, 2026
Hallucination, monofacts, and miscalibration: An empirical investigationMiranda Muqing Miao, Michael Kearns
Science (New York, N.Y.)|August 12, 2006
An experimental study of the coloring problem on human subject networksMichael Kearns, Siddharth Suri, Nick Montfort
Proceedings of the National Academy of Sciences of the United States of America|August 11, 2010
Behavioral dynamics and influence in networked coloring and consensusStephen Judd, Michael Kearns, Yevgeniy Vorobeychik
Proceedings of the National Academy of Sciences of the United States of America|April 19, 2024
AI model disgorgement: Methods and choicesAlessandro Achille, Michael Kearns, Carson Klingenberg, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 27, 2009
Behavioral experiments on biased voting in networksMichael Kearns, Stephen Judd, Jinsong Tan, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 13, 2016
Private algorithms for the protected in social network searchMichael Kearns, Aaron Roth, Zhiwei Steven Wu, et al.
Genome Research|October 3, 2009
Coexpression network based on natural variation in human gene expression reveals gene interactions and functionsRenuka R Nayak, Michael Kearns, Richard S Spielman, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 24, 2023
Reply to Sanchéz et al.: Multiplicity does not protect privacyTravis Dick, Cynthia Dwork, Michael Kearns, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 17, 2023
Confidence-ranked reconstruction of census microdata from published statisticsTravis Dick, Cynthia Dwork, Michael Kearns, et al.
Cell Reports|December 13, 2018
PARP Inhibition Elicits STING-Dependent Antitumor Immunity in Brca1-Deficient Ovarian CancerLiya Ding, Hye-Jung Kim, Qiwei Wang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings of the National Academy of Sciences of the United States of America|February 19, 2026
Hallucination, monofacts, and miscalibration: An empirical investigationMiranda Muqing Miao, Michael Kearns
Science (New York, N.Y.)|August 12, 2006
An experimental study of the coloring problem on human subject networksMichael Kearns, Siddharth Suri, Nick Montfort
Proceedings of the National Academy of Sciences of the United States of America|August 11, 2010
Behavioral dynamics and influence in networked coloring and consensusStephen Judd, Michael Kearns, Yevgeniy Vorobeychik
Proceedings of the National Academy of Sciences of the United States of America|April 19, 2024
AI model disgorgement: Methods and choicesAlessandro Achille, Michael Kearns, Carson Klingenberg, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 27, 2009
Behavioral experiments on biased voting in networksMichael Kearns, Stephen Judd, Jinsong Tan, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 13, 2016
Private algorithms for the protected in social network searchMichael Kearns, Aaron Roth, Zhiwei Steven Wu, et al.
Genome Research|October 3, 2009
Coexpression network based on natural variation in human gene expression reveals gene interactions and functionsRenuka R Nayak, Michael Kearns, Richard S Spielman, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 24, 2023
Reply to Sanchéz et al.: Multiplicity does not protect privacyTravis Dick, Cynthia Dwork, Michael Kearns, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 17, 2023
Confidence-ranked reconstruction of census microdata from published statisticsTravis Dick, Cynthia Dwork, Michael Kearns, et al.
Cell Reports|December 13, 2018
PARP Inhibition Elicits STING-Dependent Antitumor Immunity in Brca1-Deficient Ovarian CancerLiya Ding, Hye-Jung Kim, Qiwei Wang, et al.
Pageof 1