21 citations · 25 across the 13 of their papers we have counts for
3 papers · 1 filter
Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut, Xiaoshuang Yin, Barry D. Van Veen
Continual learning in neural networks suffers from a phenomenon called catastrophic forgetting, in which a network quickly forgets what was learned in a previous task. The human br…
Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks +2
Classification of large and dense networks based on topology is very difficult due to the computational challenges of extracting meaningful topological features from real-world net…
Fast Topological Clustering with Wasserstein Distance
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks +2
The topological patterns exhibited by many real-world networks motivate the development of topology-based methods for assessing the similarity of networks. However, extracting topo…