Generalization Bounds for Equivariant Networks on Markov Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Li, Hui, Wang, Zhiguo, Chen, Bohui, Sheng, Li |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data
por: Suzuki, Masahiro, et al.
Publicado: (2026)
por: Suzuki, Masahiro, et al.
Publicado: (2026)
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
por: Guo, Zengxia, et al.
Publicado: (2025)
por: Guo, Zengxia, et al.
Publicado: (2025)
Generalization Bounds for Markov Algorithms through Entropy Flow Computations
por: Dupuis, Benjamin, et al.
Publicado: (2025)
por: Dupuis, Benjamin, et al.
Publicado: (2025)
Relaxed Equivariant Graph Neural Networks
por: Hofgard, Elyssa, et al.
Publicado: (2024)
por: Hofgard, Elyssa, et al.
Publicado: (2024)
Stability and Generalization for Decentralized Markov SGD
por: Wang, Jiahuan, et al.
Publicado: (2026)
por: Wang, Jiahuan, et al.
Publicado: (2026)
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
por: Cen, Jiacheng, et al.
Publicado: (2024)
por: Cen, Jiacheng, et al.
Publicado: (2024)
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
por: Liu, Yang, et al.
Publicado: (2023)
por: Liu, Yang, et al.
Publicado: (2023)
Geometric Representation Condition Improves Equivariant Molecule Generation
por: Li, Zian, et al.
Publicado: (2024)
por: Li, Zian, et al.
Publicado: (2024)
On Universality of Deep Equivariant Networks
por: Pacini, Marco, et al.
Publicado: (2025)
por: Pacini, Marco, et al.
Publicado: (2025)
On Universality Classes of Equivariant Networks
por: Pacini, Marco, et al.
Publicado: (2025)
por: Pacini, Marco, et al.
Publicado: (2025)
Equivariant Polynomial Functional Networks
por: Vo, Thieu N., et al.
Publicado: (2024)
por: Vo, Thieu N., et al.
Publicado: (2024)
Empirical PAC-Bayes Bounds for Markov Chains
por: Karagulyan, Vahe, et al.
Publicado: (2025)
por: Karagulyan, Vahe, et al.
Publicado: (2025)
Molecule Graph Networks with Many-body Equivariant Interactions
por: Mao, Zetian, et al.
Publicado: (2024)
por: Mao, Zetian, et al.
Publicado: (2024)
Understanding Domain-Size Generalization in Markov Logic Networks
por: Chen, Florian, et al.
Publicado: (2024)
por: Chen, Florian, et al.
Publicado: (2024)
Identifiable Equivariant Networks are Layerwise Equivariant
por: Shahverdi, Vahid, et al.
Publicado: (2026)
por: Shahverdi, Vahid, et al.
Publicado: (2026)
LEGO-MOF: Equivariant Latent Manipulation for Editable, Generative, and Optimizable MOF Design
por: Zhang, Chaoran, et al.
Publicado: (2026)
por: Zhang, Chaoran, et al.
Publicado: (2026)
General and Estimable Learning Bound Unifying Covariate and Concept Shifts
por: Chen, Hongbo, et al.
Publicado: (2025)
por: Chen, Hongbo, et al.
Publicado: (2025)
Equivariant Networks for Zero-Shot Coordination
por: Muglich, Darius, et al.
Publicado: (2022)
por: Muglich, Darius, et al.
Publicado: (2022)
Symmetry Breaking and Equivariant Neural Networks
por: Kaba, Sékou-Oumar, et al.
Publicado: (2023)
por: Kaba, Sékou-Oumar, et al.
Publicado: (2023)
Equivariant Neural Functional Networks for Transformers
por: Tran, Viet-Hoang, et al.
Publicado: (2024)
por: Tran, Viet-Hoang, et al.
Publicado: (2024)
Towards Bounding Causal Effects under Markov Equivalence
por: Bellot, Alexis
Publicado: (2023)
por: Bellot, Alexis
Publicado: (2023)
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel
por: Chen, Yilan, et al.
Publicado: (2025)
por: Chen, Yilan, et al.
Publicado: (2025)
Equivariant Neural Diffusion for Molecule Generation
por: Cornet, François, et al.
Publicado: (2025)
por: Cornet, François, et al.
Publicado: (2025)
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
por: Wang, Xiyuan, et al.
Publicado: (2025)
por: Wang, Xiyuan, et al.
Publicado: (2025)
A Markov Decision Process for Variable Selection in Branch & Bound
por: Strang, Paul, et al.
Publicado: (2025)
por: Strang, Paul, et al.
Publicado: (2025)
Improving Equivariant Networks with Probabilistic Symmetry Breaking
por: Lawrence, Hannah, et al.
Publicado: (2025)
por: Lawrence, Hannah, et al.
Publicado: (2025)
Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes
por: Metelli, Alberto Maria
Publicado: (2024)
por: Metelli, Alberto Maria
Publicado: (2024)
E(3)-Equivariant Mesh Neural Networks
por: Trang, Thuan, et al.
Publicado: (2024)
por: Trang, Thuan, et al.
Publicado: (2024)
Lie Group Decompositions for Equivariant Neural Networks
por: Mironenco, Mircea, et al.
Publicado: (2023)
por: Mironenco, Mircea, et al.
Publicado: (2023)
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework
por: Zhou, Xu-Hui, et al.
Publicado: (2024)
por: Zhou, Xu-Hui, et al.
Publicado: (2024)
Universally Invariant Learning in Equivariant GNNs
por: Cen, Jiacheng, et al.
Publicado: (2025)
por: Cen, Jiacheng, et al.
Publicado: (2025)
Lower Bounds on the Size of Markov Equivalence Classes
por: Jahn, Erik, et al.
Publicado: (2025)
por: Jahn, Erik, et al.
Publicado: (2025)
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
por: Li, Yipeng, et al.
Publicado: (2024)
por: Li, Yipeng, et al.
Publicado: (2024)
An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
por: Bharadwaj, Vivek, et al.
Publicado: (2025)
por: Bharadwaj, Vivek, et al.
Publicado: (2025)
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
por: Kim, Chankyo, et al.
Publicado: (2025)
por: Kim, Chankyo, et al.
Publicado: (2025)
Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks
por: Ma, Wenquan, et al.
Publicado: (2026)
por: Ma, Wenquan, et al.
Publicado: (2026)
Generalization Bounds for Rank-sparse Neural Networks
por: Ledent, Antoine, et al.
Publicado: (2025)
por: Ledent, Antoine, et al.
Publicado: (2025)
Generalization and Risk Bounds for Recurrent Neural Networks
por: Cheng, Xuewei, et al.
Publicado: (2024)
por: Cheng, Xuewei, et al.
Publicado: (2024)
Constructing 3D Rotational Invariance and Equivariance with Symmetric Tensor Networks
por: Zhang, Meng, et al.
Publicado: (2025)
por: Zhang, Meng, et al.
Publicado: (2025)
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups
por: Basu, Sourya, et al.
Publicado: (2024)
por: Basu, Sourya, et al.
Publicado: (2024)
Ejemplares similares
-
DAD4TS: Data-Augmentation-Oriented Diffusion Model for Time-Series Forecasting with Small-Scale Data
por: Suzuki, Masahiro, et al.
Publicado: (2026) -
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
por: Guo, Zengxia, et al.
Publicado: (2025) -
Generalization Bounds for Markov Algorithms through Entropy Flow Computations
por: Dupuis, Benjamin, et al.
Publicado: (2025) -
Relaxed Equivariant Graph Neural Networks
por: Hofgard, Elyssa, et al.
Publicado: (2024) -
Stability and Generalization for Decentralized Markov SGD
por: Wang, Jiahuan, et al.
Publicado: (2026)