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 M Bronstein

Showing results (11-20 of 23) with videos related to

Pageof 3
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2015
Multimodal Manifold Analysis by Simultaneous Diagonalization of LaplaciansDavide Eynard, Artiom Kovnatsky, Michael M Bronstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 26, 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networksT Konstantin Rusch, Nathan Kirk, Michael M Bronstein, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 26, 2022
Differentiable Graph Module (DGM) for Graph Convolutional NetworksAnees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, et al.
Scientific Reports|December 8, 2019
Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale BioacousticsPeter C Bermant, Michael M Bronstein, Robert J Wood, et al.
Medical Image Analysis|June 1, 2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applicationsKamilia Zaripova, Luca Cosmo, Anees Kazi, et al.
Scientific Reports|August 31, 2019
Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale BioacousticsPeter C Bermant, Michael M Bronstein, Robert J Wood, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 30, 2024
Graph Kernel Neural NetworksLuca Cosmo, Giorgia Minello, Alessandro Bicciato, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 17, 2019
Intel® RealSense™ SR300 Coded Light Depth CameraAviad Zabatani, Vitaly Surazhsky, Erez Sperling, et al.
Cell Systems|October 9, 2024
Exploring "dark-matter" protein folds using deep learningZander Harteveld, Alexandra Van Hall-Beauvais, Irina Morozova, et al.
Briefings in Bioinformatics|May 20, 2021
Utilizing graph machine learning within drug discovery and developmentThomas Gaudelet, Ben Day, Arian R Jamasb, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2015
Multimodal Manifold Analysis by Simultaneous Diagonalization of LaplaciansDavide Eynard, Artiom Kovnatsky, Michael M Bronstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 26, 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networksT Konstantin Rusch, Nathan Kirk, Michael M Bronstein, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 26, 2022
Differentiable Graph Module (DGM) for Graph Convolutional NetworksAnees Kazi, Luca Cosmo, Seyed-Ahmad Ahmadi, et al.
Scientific Reports|December 8, 2019
Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale BioacousticsPeter C Bermant, Michael M Bronstein, Robert J Wood, et al.
Medical Image Analysis|June 1, 2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applicationsKamilia Zaripova, Luca Cosmo, Anees Kazi, et al.
Scientific Reports|August 31, 2019
Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale BioacousticsPeter C Bermant, Michael M Bronstein, Robert J Wood, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 30, 2024
Graph Kernel Neural NetworksLuca Cosmo, Giorgia Minello, Alessandro Bicciato, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 17, 2019
Intel® RealSense™ SR300 Coded Light Depth CameraAviad Zabatani, Vitaly Surazhsky, Erez Sperling, et al.
Cell Systems|October 9, 2024
Exploring "dark-matter" protein folds using deep learningZander Harteveld, Alexandra Van Hall-Beauvais, Irina Morozova, et al.
Briefings in Bioinformatics|May 20, 2021
Utilizing graph machine learning within drug discovery and developmentThomas Gaudelet, Ben Day, Arian R Jamasb, et al.
Pageof 3