Cover Image

Quasi-Equivariant Metanetworks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tran, Viet-Hoang, Nguyen, An, Guérand, Benoît, Vo, Thieu N., Nguyen, Tan M.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Monomial Matrix Group Equivariant Neural Functional Networks
by: Tran, Viet-Hoang, et al.
Published: (2024)

A Clifford Algebraic Approach to E(n)-Equivariant High-order Graph Neural Networks
by: Tran, Viet-Hoang, et al.
Published: (2024)

Equivariant Polynomial Functional Networks
by: Vo, Thieu N., et al.
Published: (2024)

Equivariant Neural Functional Networks for Transformers
by: Tran, Viet-Hoang, et al.
Published: (2024)

Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
by: Pham, Duy-Tung, et al.
Published: (2025)

Scale Equivariant Graph Metanetworks
by: Kalogeropoulos, Ioannis, et al.
Published: (2024)

Learning bridge numbers of knots
by: Vo, Hanh, et al.
Published: (2024)

Demystifying the Token Dynamics of Deep Selective State Space Models
by: Vo, Thieu N, et al.
Published: (2024)

MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors
by: Nguyen, Thai-Khanh, et al.
Published: (2025)

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
by: Hoang, Vu Viet, et al.
Published: (2024)

E(3)-Equivariant Mesh Neural Networks
by: Trang, Thuan, et al.
Published: (2024)

On Linear Mode Connectivity of Mixture-of-Experts Architectures
by: Tran, Viet-Hoang, et al.
Published: (2025)

Spherical Tree-Sliced Wasserstein Distance
by: Tran, Viet-Hoang, et al.
Published: (2025)

High Dimensional Bayesian Optimization using Lasso Variable Selection
by: Hoang, Vu Viet, et al.
Published: (2025)

Revisiting LARS for Large Batch Training Generalization of Neural Networks
by: Do, Khoi, et al.
Published: (2023)

Tree-Sliced Wasserstein Distance: A Geometric Perspective
by: Tran, Viet-Hoang, et al.
Published: (2024)

On the Internal Representations of Graph Metanetworks
by: Yeom, Taesun, et al.
Published: (2025)

Collaborative Learning for Cyberattack Detection in Blockchain Networks
by: Khoa, Tran Viet, et al.
Published: (2022)

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies
by: Nguyen, Viet Thanh Duy, et al.
Published: (2026)

Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
by: Hoang, Thao, et al.
Published: (2024)

OWLViz: An Open-World Benchmark for Visual Question Answering
by: Nguyen, Thuy, et al.
Published: (2025)

Tree-Sliced Wasserstein Distance with Nonlinear Projection
by: Tran, Thanh, et al.
Published: (2025)

RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
by: Bui, Tuan-Dung, et al.
Published: (2024)

Metanetworks as Regulatory Operators: Learning to Edit for Requirement Compliance
by: Kalogeropoulos, Ioannis, et al.
Published: (2025)

Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
by: Kiet, Tran Tuan, et al.
Published: (2025)

Graph Metanetworks for Processing Diverse Neural Architectures
by: Lim, Derek, et al.
Published: (2023)

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
by: Nguyen, Duy, et al.
Published: (2024)

Sparse Partial Optimal Transport via Quadratic Regularization
by: Tran, Khang, et al.
Published: (2025)

Compute the edge p-Laplacian centrality for air traffic network
by: Tran, Loc Hoang, et al.
Published: (2025)

Distance-Based Tree-Sliced Wasserstein Distance
by: Tran, Hoang V., et al.
Published: (2025)

Statistical Inference for Sequential Feature Selection after Domain Adaptation
by: Loc, Duong Tan, et al.
Published: (2025)

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
by: Loi, Nguyen Thang, et al.
Published: (2024)

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
by: Tran, Bao Q., et al.
Published: (2024)

A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
by: Hoang, Nguyen Viet, et al.
Published: (2026)

Clustering-based Meta Bayesian Optimization with Theoretical Guarantee
by: Nguyen, Khoa, et al.
Published: (2025)

TabularFM: An Open Framework For Tabular Foundational Models
by: Tran, Quan M., et al.
Published: (2024)