Výsledky vyhledávání - "van Veen, Barry D."

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Topological Continual Learning with Wasserstein Distance and Barycenter

Autor: Songdechakraiwut, Tananun, Yin, Xiaoshuang, Van Veen, Barry D.

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 brain, however, is able to continually learn new tasks and accumulate kn

Externí odkaz: http://arxiv.org/abs/2210.02661

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Topological Classification in a Wasserstein Distance Based Vector Space

Autor: Songdechakraiwut, Tananun, Krause, Bryan M., Banks, Matthew I., Nourski, Kirill V., Van Veen, Barry D.

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 networks. In this paper we present a computationally tractable approach t

Externí odkaz: http://arxiv.org/abs/2202.01275

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Fast Topological Clustering with Wasserstein Distance

Autor: Songdechakraiwut, Tananun, Krause, Bryan M., Banks, Matthew I., Nourski, Kirill V., Van Veen, Barry D.

The topological patterns exhibited by many real-world networks motivate the development of topology-based methods for assessing the similarity of networks. However, extracting topological structure is difficult, especially for large and dense network

Externí odkaz: http://arxiv.org/abs/2112.00101

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