MA1b.2

Self-Supervised Spatiotemporal Modeling for Explainable Real-Time Data-Driven Actionable Insights

Hugo Latapie, Cisco Systems, United States
Session:
MA1b: Hyperdimensional Computing (invited) Lecture
Track:
Architectures and Implementation
Location:
Evergreen
Presentation Time:
Mon, 30 Oct, 10:40 - 11:05 PT (UTC -8)
Session Chair:
Sanggeon Yun, University of California, Irvine
Presentation
Discussion
Resources
No resources available.
Session MA1b
MA1b.1: Classifying Functional Brain Graphs using Graph Hypervector Representation
Lulu Ge, University of Minnesota, United States; Ali Payani, Hugo Latapie, Cisco Systems, United States; Keshab K. Parhi, University of Minnesota, United States
MA1b.2: Self-Supervised Spatiotemporal Modeling for Explainable Real-Time Data-Driven Actionable Insights
Hugo Latapie, Cisco Systems, United States
MA1b.3: Technology/Algorithm Co-design for Robust Brain-inspired Hyperdimensional In-memory Computing
Paul R. Genssler, University of Stuttgart, Germany; Hussam Amrouch, Technical University of Munich, MERMI, University of Stuttgart, Germany
MA1b.4: Hyperdimensional Computing for Robust and Efficient Unsupervised Learning
Sanggeon Yun, Hamza Errahmouni Barkam, University of California, Irvine, United States; Paul Genssler, University of Stuttgart, Germany; Hugo Latapie, CISCO Systems, United States; Hussam Amrouch, Technical University of Munich, Germany; Mohsen Imani, University of California Irvine, United States
Contacts