3 papers
cs.CV2024
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram
Mingxi Lei, Chunwei Ma, Meng Ding +3
Deep learning models often struggle with generalization when deploying on real-world data, due to the common distributional shift to the training data. Test-time adaptation (TTA) i…
cs.LG2024
Multiset Transformer: Advancing Representation Learning in Persistence Diagrams
Minghua Wang, Ziyun Huang, Jinhui Xu
To improve persistence diagram representation learning, we propose Multiset Transformer. This is the first neural network that utilizes attention mechanisms specifically designed f…
cs.CG2024
On Clustering Induced Voronoi Diagrams
Danny Z. Chen, Ziyun Huang, Yangwei Liu +1
In this paper, we study a generalization of the classical Voronoi diagram, called clustering induced Voronoi diagram (CIVD). Different from the traditional model, CIVD takes as its…