Tananun Songdechakraiwut

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Affinity Measure

Unsupervised Learning

Top Venues

Publications

Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen
Wasserstein Distance-Preserving Vector Space of Persistent Homology. MICCAI (8) (2023)
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen
Fast topological clustering with Wasserstein distance. ICLR (2022)
Tananun Songdechakraiwut, Xiaoshuang Yin, Barry D. Van Veen
Topological Continual Learning with Wasserstein Distance and Barycenter. CoRR (2022)
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen
Topological Classification in a Wasserstein Distance Based Vector Space. CoRR (2022)
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks, Kirill V. Nourski, Barry D. Van Veen
Fast Topological Clustering with Wasserstein Distance. CoRR (2021)
Tananun Songdechakraiwut, Li Shen, Moo K. Chung
Topological Learning and Its Application to Multimodal Brain Network Integration. MICCAI (2) (2021)
Tananun Songdechakraiwut, Moo K. Chung
Topological Learning for Brain Networks. CoRR (2020)
Tananun Songdechakraiwut, Moo K. Chung
Dynamic Topological Data Analysis for Functional Brain Signals. ISBI Workshops (2020)