Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Thieu, N"'
Designing neural network architectures that can handle data symmetry is crucial. This is especially important for geometric graphs whose properties are equivariance under Euclidean transformations. Current equivariant graph neural networks (EGNNs), p
Externí odkaz:
http://arxiv.org/abs/2410.04692
Autor:
Vo, Thieu N., Tran, Viet-Hoang, Huu, Tho Tran, The, An Nguyen, Tran, Thanh, Nguyen-Nhat, Minh-Khoi, Pham, Duy-Tung, Nguyen, Tan Minh
Neural Functional Networks (NFNs) have gained increasing interest due to their wide range of applications, including extracting information from implicit representations of data, editing network weights, and evaluating policies. A key design principl
Externí odkaz:
http://arxiv.org/abs/2410.04213
Autor:
Tran, Viet-Hoang, Vo, Thieu N., The, An Nguyen, Huu, Tho Tran, Nguyen-Nhat, Minh-Khoi, Tran, Thanh, Pham, Duy-Tung, Nguyen, Tan Minh
This paper systematically explores neural functional networks (NFN) for transformer architectures. NFN are specialized neural networks that treat the weights, gradients, or sparsity patterns of a deep neural network (DNN) as input data and have prove
Externí odkaz:
http://arxiv.org/abs/2410.04209
Selective state space models (SSM), such as Mamba, have gained prominence for their effectiveness in modeling sequential data. Despite their outstanding empirical performance, a comprehensive theoretical understanding of deep selective SSM remains el
Externí odkaz:
http://arxiv.org/abs/2410.03292
Neural functional networks (NFNs) have recently gained significant attention due to their diverse applications, ranging from predicting network generalization and network editing to classifying implicit neural representation. Previous NFN designs oft
Externí odkaz:
http://arxiv.org/abs/2409.11697
Autor:
Paran, Elad, Vo, Thieu N.
We study Noether's normalization lemma for finitely generated algebras over a division algebra. In its classical form, the lemma states that if $I$ is a proper ideal of the ring $R=F[t_1,\ldots,t_n]$ of polynomials over a field $F$, then the quotient
Externí odkaz:
http://arxiv.org/abs/2407.12686
Autor:
Trang, Thuan, Ngo, Nhat Khang, Levy, Daniel, Vo, Thieu N., Ravanbakhsh, Siamak, Hy, Truong Son
Triangular meshes are widely used to represent three-dimensional objects. As a result, many recent works have address the need for geometric deep learning on 3D mesh. However, we observe that the complexities in many of these architectures does not t
Externí odkaz:
http://arxiv.org/abs/2402.04821
This work seeks to improve the generalization and robustness of existing neural networks for 3D point clouds by inducing group equivariance under general group transformations. The main challenge when designing equivariant models for point clouds is
Externí odkaz:
http://arxiv.org/abs/2205.00630
Publikováno v:
In Finite Fields and Their Applications June 2024 96
This paper presents a classification of 7-dimensional real and complex indecomposable solvable Lie algebras having some 5-dimensional nilradicals. Afterwards, we combine our results with those of Rubin and Winternitz (1993), Ndogmo and Winternitz (19
Externí odkaz:
http://arxiv.org/abs/2107.03990