Thu AM1.L5.6
PRODUCT GRAPH GAUSSIAN PROCESSES FOR MULTI-DOMAIN DATA IMPUTATION AND ACTIVE LEARNING
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bengaluru, India
Session:
Thu AM1.L5: Graph Signal Processing Lecture
Track:
SPMuS - Signal Processing for Multisensor Systems
Location:
Press room
Presentation Time:
Thu, 7 Sep, 12:10 - 12:30 Finland Time (UTC +3)
Session Chair:
Geert Leus, Delft University of Technology
Presentation
Discussion
Resources
No resources available.
Session Thu AM1.L5
Thu AM1.L5.1: Sparsity-Aware Block Diagonal Representation for Subspace Clustering
Aylin Tastan, Michael Muma, Technische Universität Darmstadt, Germany; Esa Ollila, Aalto University, Finland; Abdelhak M. Zoubir, Technische Universität Darmstadt, Germany
Thu AM1.L5.2: Graph-based Multivariate Multiscale Permutation Entropy: Study of Robustness to Noise and Application to Two-Phase Flow Data
John Stewart Fabila Carrasco, The University of Edinburgh, United Kingdom; Chao Tan, Tianjin University, China; Javier Escudero, The University of Edinburgh, United Kingdom
Thu AM1.L5.3: Error Detection on Knowledge Graphs with Triple Embedding
Yezi Liu, University of California Irvine, United States; Qinggang Zhang, The Hong Kong Polytechnic University, China; Mengnan Du, New Jersey Institute of Technology, United States; Xiao Huang, The Hong Kong Polytechnic University, China; Xia Hu, Rice University, United States
Thu AM1.L5.4: Clustering with Simplicial Complexes
Siddartha Reddy Thummaluru, Sundeep Prabhakar Chepuri, Indian Institute of Science, India; Pierre Borgnat, ENS de Lyon, CNRS, Lab. Physique, France
Thu AM1.L5.5: Towards Model-Agnostic Federated Learning over Networks
Alexander Jung, Shamsiiat Abdurakhmanova, Olga Kuznetsova, Yasmin Sarcheshmehpour, Aalto University, Finland
Thu AM1.L5.6: PRODUCT GRAPH GAUSSIAN PROCESSES FOR MULTI-DOMAIN DATA IMPUTATION AND ACTIVE LEARNING
Sai Kiran Kadambari, Sundeep Prabhakar Chepuri, Indian Institute of Science, Bengaluru, India