4 citations · 8 across the 9 of their papers we have counts for
9 papers
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product Manifold
Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
In graph representation learning, it is important that the complex geometric structure of the input graph, e.g. hidden relations among nodes, is well captured in embedding space. H…
A Cosine Similarity-based Method for Out-of-Distribution Detection
Nguyen Ngoc-Hieu, Nguyen Hung-Quang, The-Anh Ta +3
The ability to detect OOD data is a crucial aspect of practical machine learning applications. In this work, we show that cosine similarity between the test feature and the typical…
Invariant Lipschitz Bandits: A Side Observation Approach
Nam Phuong Tran, Long Tran-Thanh
Symmetry arises in many optimization and decision-making problems, and has attracted considerable attention from the optimization community: By utilizing the existence of such symm…
On Convergent Poincaré-Moser Reduction for Levi Degenerate Embedded -Dimensional CR Manifolds
Wei Guo Foo, Joel Merker, The-Anh Ta
Applying Lie's theory, we show that any hypersurface in the class carries Cartan-Moser chains of orders and .…
Normal Forms for Rigid Hypersurfaces
Zhangchi Chen, Wei-Guo Foo, Joel Merker +1
Consider a -nondegenerate constant Levi rank rigid hypersurface in coordinates : \[ u = F\big(z,ζ,\bar{z},\bar…
Nonvanishing of Cartan CR curvature on boundaries of Grauert tubes around hyperbolic surfaces
Wei Guo Foo, Joel Merker, The-Anh Ta
We show that the boundaries of thin strongly pseudoconvex Grauert tubes, with respect to the Guillemin-Stenzel Kähler metric canonically associated with the Poincaré metric on clos…