Saved in:
| Main Authors: | Gregory, Wilson G., Tonelli-Cueto, Josué, Marshall, Nicholas F., Lee, Andrew S., Villar, Soledad |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.01552 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
by: Khalife, Sammy, et al.
Published: (2024)
by: Khalife, Sammy, et al.
Published: (2024)
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)
by: Chen, Nan, et al.
Published: (2026)
Graph neural networks and non-commuting operators
by: Velasco, Mauricio, et al.
Published: (2024)
by: Velasco, Mauricio, et al.
Published: (2024)
$μ$pscaling small models: Principled warm starts and hyperparameter transfer
by: Ma, Yuxin, et al.
Published: (2026)
by: Ma, Yuxin, et al.
Published: (2026)
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
by: Abreu, Miguel, et al.
Published: (2023)
by: Abreu, Miguel, et al.
Published: (2023)
Intrinsic Lorentz Neural Network
by: Shi, Xianglong, et al.
Published: (2026)
by: Shi, Xianglong, et al.
Published: (2026)
A framework for measuring the training efficiency of a neural architecture
by: Cueto-Mendoza, Eduardo, et al.
Published: (2024)
by: Cueto-Mendoza, Eduardo, et al.
Published: (2024)
Attention-based Iterative Decomposition for Tensor Product Representation
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
Analyzing limits for in-context learning
by: Naim, Omar, et al.
Published: (2025)
by: Naim, Omar, et al.
Published: (2025)
Graph neural networks informed locally by thermodynamics
by: Tierz, Alicia, et al.
Published: (2024)
by: Tierz, Alicia, et al.
Published: (2024)
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Tensor Low-rank Approximation of Finite-horizon Value Functions
by: Rozada, Sergio, et al.
Published: (2024)
by: Rozada, Sergio, et al.
Published: (2024)
Shadows of quantum machine learning
by: Jerbi, Sofiene, et al.
Published: (2023)
by: Jerbi, Sofiene, et al.
Published: (2023)
Interaction Tensor SHAP
by: Hasegawa, Hiroki, et al.
Published: (2025)
by: Hasegawa, Hiroki, et al.
Published: (2025)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)
by: Rozada, Sergio, et al.
Published: (2022)
Tensor Polynomial Additive Model
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay
by: Casco-Rodriguez, Josue, et al.
Published: (2026)
by: Casco-Rodriguez, Josue, et al.
Published: (2026)
ACT-Tensor: Tensor Completion Framework for Financial Dataset Imputation
by: Mo, Junyi, et al.
Published: (2025)
by: Mo, Junyi, et al.
Published: (2025)
MatrixNet: Learning over symmetry groups using learned group representations
by: Laird, Lucas, et al.
Published: (2025)
by: Laird, Lucas, et al.
Published: (2025)
Tensor Product Attention Is All You Need
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance
by: Di Pasquale, Ricardo, et al.
Published: (2024)
by: Di Pasquale, Ricardo, et al.
Published: (2024)
Decoding the mechanisms of the Hattrick football manager game using Bayesian network structure learning
by: Constantinou, Anthony C., et al.
Published: (2025)
by: Constantinou, Anthony C., et al.
Published: (2025)
Slot-MPC: Goal-Conditioned Model Predictive Control with Object-Centric Representations
by: Spieler, Jonathan, et al.
Published: (2026)
by: Spieler, Jonathan, et al.
Published: (2026)
Lorentz Framework for Semantic Segmentation
by: Hasan, Zahid, et al.
Published: (2026)
by: Hasan, Zahid, et al.
Published: (2026)
Balancing optimism and pessimism in offline-to-online learning
by: Sentenac, Flore, et al.
Published: (2025)
by: Sentenac, Flore, et al.
Published: (2025)
Mixture of Latent Experts Using Tensor Products
by: Su, Zhan, et al.
Published: (2024)
by: Su, Zhan, et al.
Published: (2024)
Tensor-view Topological Graph Neural Network
by: Wen, Tao, et al.
Published: (2024)
by: Wen, Tao, et al.
Published: (2024)
Counterfactual experience augmented off-policy reinforcement learning
by: Lee, Sunbowen, et al.
Published: (2025)
by: Lee, Sunbowen, et al.
Published: (2025)
Delayed homomorphic reinforcement learning for environments with delayed feedback
by: Lee, Jongsoo, et al.
Published: (2026)
by: Lee, Jongsoo, et al.
Published: (2026)
Machine learning and invariant theory
by: Blum-Smith, Ben, et al.
Published: (2022)
by: Blum-Smith, Ben, et al.
Published: (2022)
Causal Foundation Models: Disentangling Physics from Instrument Properties
by: Audenaert, Jeroen, et al.
Published: (2025)
by: Audenaert, Jeroen, et al.
Published: (2025)
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
by: Rudner, Tim G. J., et al.
Published: (2024)
by: Rudner, Tim G. J., et al.
Published: (2024)
A comparative study on feature selection for a risk prediction model for colorectal cancer
by: Cueto-López, N., et al.
Published: (2024)
by: Cueto-López, N., et al.
Published: (2024)
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft
by: Lenzen, Nicholas, et al.
Published: (2024)
by: Lenzen, Nicholas, et al.
Published: (2024)
Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)
by: Borsoi, Ricardo, et al.
Published: (2025)
Tensor Cache: Eviction-conditioned Associative Memory for Transformers
by: Swain, Kabir, et al.
Published: (2026)
by: Swain, Kabir, et al.
Published: (2026)
Toward Temporal Causal Representation Learning with Tensor Decomposition
by: Chen, Jianhong, et al.
Published: (2025)
by: Chen, Jianhong, et al.
Published: (2025)
Understanding polysemanticity in neural networks through coding theory
by: Marshall, Simon C., et al.
Published: (2024)
by: Marshall, Simon C., et al.
Published: (2024)
MiniTensor: A Lightweight, High-Performance Tensor Operations Library
by: Sarkar, Soumyadip
Published: (2026)
by: Sarkar, Soumyadip
Published: (2026)
Similar Items
-
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
by: Khalife, Sammy, et al.
Published: (2024) -
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026) -
Graph neural networks and non-commuting operators
by: Velasco, Mauricio, et al.
Published: (2024) -
$μ$pscaling small models: Principled warm starts and hyperparameter transfer
by: Ma, Yuxin, et al.
Published: (2026) -
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension
by: Abreu, Miguel, et al.
Published: (2023)