MA3a.3

Bayesian Self-Supervised Simplicial Representation Learning

Ayushman Raghuvanshi, Sravanthi Gurugubelli, Hiren Madhu Mahendrakumar, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bangalore, India
Session:
MA3a: Topological Signal Processing and Learning Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Mon, 28 Oct, 09:05 - 09:30 PT (UTC -8)
Session Chair:
Paolo di Lorenzo, Sapienza Rome
Presentation
Discussion
Resources
No resources available.
Session MA3a
MA3a.1: Topological trajectory classification
Vincent P. Grande, Josef Hoppe, Florian Frantzen, Michael T. Schaub, RWTH Aachen University, Germany
MA3a.2: Kalman Filtering for Simplicial Processes
Rohan T. Money, Simula Metropolitan Centre for Digital Engineering, Norway; Mohammad Sabbaqi, TU Delft, Netherlands; Joshin Krishnan, Baltasar Beferull-Lonano, Simula Metropolitan Centre for Digital Engineering, Norway; Elvin Isufi, TU Delft, Netherlands
MA3a.3: Bayesian Self-Supervised Simplicial Representation Learning
Ayushman Raghuvanshi, Sravanthi Gurugubelli, Hiren Madhu Mahendrakumar, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bangalore, India
MA3a.4: Learning sheaf laplacian optimizing restriction maps
Leonardo Di Nino, Sergio Barbarossa, Paolo Di Lorenzo, Sapienza University of Rome, Italy
Contacts