Imagen de Portada

Tensor learning with orthogonal, Lorentz, and symplectic symmetries

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gregory, Wilson G., Tonelli-Cueto, Josué, Marshall, Nicholas F., Lee, Andrew S., Villar, Soledad
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graph neural networks and non-commuting operators
por: Velasco, Mauricio, et al.
Publicado: (2024)

Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
por: Chen, Nan, et al.
Publicado: (2026)

Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
por: Abreu, Miguel, et al.
Publicado: (2023)

Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
por: Khalife, Sammy, et al.
Publicado: (2024)

Intrinsic Lorentz Neural Network
por: Shi, Xianglong, et al.
Publicado: (2026)

$μ$pscaling small models: Principled warm starts and hyperparameter transfer
por: Ma, Yuxin, et al.
Publicado: (2026)

Attention-based Iterative Decomposition for Tensor Product Representation
por: Park, Taewon, et al.
Publicado: (2024)

A framework for measuring the training efficiency of a neural architecture
por: Cueto-Mendoza, Eduardo, et al.
Publicado: (2024)

Analyzing limits for in-context learning
por: Naim, Omar, et al.
Publicado: (2025)

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
por: Gao, Yihang, et al.
Publicado: (2025)

Tensor Low-rank Approximation of Finite-horizon Value Functions
por: Rozada, Sergio, et al.
Publicado: (2024)

Interaction Tensor SHAP
por: Hasegawa, Hiroki, et al.
Publicado: (2025)

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
por: Rozada, Sergio, et al.
Publicado: (2022)

Tensor Polynomial Additive Model
por: Chen, Yang, et al.
Publicado: (2024)

Shadows of quantum machine learning
por: Jerbi, Sofiene, et al.
Publicado: (2023)

ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
por: Mo, Junyi, et al.
Publicado: (2025)

Graph neural networks informed locally by thermodynamics
por: Tierz, Alicia, et al.
Publicado: (2024)

Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning
por: Constantinou, Anthony C., et al.
Publicado: (2025)

MatrixNet: Learning over symmetry groups using learned group representations
por: Laird, Lucas, et al.
Publicado: (2025)

Balancing optimism and pessimism in offline-to-online learning
por: Sentenac, Flore, et al.
Publicado: (2025)

Mixture of Latent Experts Using Tensor Products
por: Su, Zhan, et al.
Publicado: (2024)

Tensor-view Topological Graph Neural Network
por: Wen, Tao, et al.
Publicado: (2024)

Tensor Product Attention Is All You Need
por: Zhang, Yifan, et al.
Publicado: (2025)

Counterfactual experience augmented off-policy reinforcement learning
por: Lee, Sunbowen, et al.
Publicado: (2025)

Delayed homomorphic reinforcement learning for environments with delayed feedback
por: Lee, Jongsoo, et al.
Publicado: (2026)

Tensor-Fused Multi-View Graph Contrastive Learning
por: Wu, Yujia, et al.
Publicado: (2024)

Low-Rank Tensor Decompositions for the Theory of Neural Networks
por: Borsoi, Ricardo, et al.
Publicado: (2025)

Tensor Cache: Eviction-conditioned Associative Memory for Transformers
por: Swain, Kabir, et al.
Publicado: (2026)

Toward Temporal Causal Representation Learning with Tensor Decomposition
por: Chen, Jianhong, et al.
Publicado: (2025)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)

Towards Low-bit Communication for Tensor Parallel LLM Inference
por: Dong, Harry, et al.
Publicado: (2024)

How to Square Tensor Networks and Circuits Without Squaring Them
por: Loconte, Lorenzo, et al.
Publicado: (2025)

Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
por: Mandyam, Aishwarya, et al.
Publicado: (2021)

Exclusively Penalized Q-learning for Offline Reinforcement Learning
por: Yeom, Junghyuk, et al.
Publicado: (2024)

Lorentz Framework for Semantic Segmentation
por: Hasan, Zahid, et al.
Publicado: (2026)

Understanding polysemanticity in neural networks through coding theory
por: Marshall, Simon C., et al.
Publicado: (2024)

Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
por: Lim, Han-Dong, et al.
Publicado: (2025)

STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
por: Lenzen, Nicholas, et al.
Publicado: (2024)

TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
por: Lei, Qifeng, et al.
Publicado: (2025)

The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
por: Xie, YuQing, et al.
Publicado: (2025)