Efficient Probabilistic Tensor Networks
Fuente:
arXiv
Guardado en:
| Autores principales: | Hameed, Marawan Gamal Abdel, Rabusseau, Guillaume |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Tensor Decomposition Perspective on Second-order RNNs
por: Lizaire, Maude, et al.
Publicado: (2024)
por: Lizaire, Maude, et al.
Publicado: (2024)
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2024)
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2024)
Model Merging via Data-Free Covariance Estimation
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2026)
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2026)
Tensor Cookbook: Mastering Tensors through Diagrams
por: Rakhshan, Beheshteh T., et al.
Publicado: (2026)
por: Rakhshan, Beheshteh T., et al.
Publicado: (2026)
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
por: Heidari, Farzaneh, et al.
Publicado: (2026)
por: Heidari, Farzaneh, et al.
Publicado: (2026)
Tractable Shapley Values and Interactions via Tensor Networks
por: Heidari, Farzaneh, et al.
Publicado: (2025)
por: Heidari, Farzaneh, et al.
Publicado: (2025)
Generative Learning of Continuous Data by Tensor Networks
por: Meiburg, Alex, et al.
Publicado: (2023)
por: Meiburg, Alex, et al.
Publicado: (2023)
KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
por: Lesens, Damien, et al.
Publicado: (2025)
por: Lesens, Damien, et al.
Publicado: (2025)
Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
por: Omranpour, Soroush, et al.
Publicado: (2024)
por: Omranpour, Soroush, et al.
Publicado: (2024)
Higher-Order Transformers With Kronecker-Structured Attention
por: Omranpour, Soroush, et al.
Publicado: (2024)
por: Omranpour, Soroush, et al.
Publicado: (2024)
FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
por: Dai, Jun, et al.
Publicado: (2025)
por: Dai, Jun, et al.
Publicado: (2025)
The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
por: Rizvi-Martel, Michael, et al.
Publicado: (2026)
por: Rizvi-Martel, Michael, et al.
Publicado: (2026)
Grokking Finite-Dimensional Algebra
por: Notsawo, Pascal Jr Tikeng, et al.
Publicado: (2026)
por: Notsawo, Pascal Jr Tikeng, et al.
Publicado: (2026)
Grokking Beyond the Euclidean Norm of Model Parameters
por: Notsawo, Pascal Jr Tikeng, et al.
Publicado: (2025)
por: Notsawo, Pascal Jr Tikeng, et al.
Publicado: (2025)
On the Role of Depth in the Expressivity of RNNs
por: Lizaire, Maude, et al.
Publicado: (2026)
por: Lizaire, Maude, et al.
Publicado: (2026)
T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
por: Dizaji, Alireza, et al.
Publicado: (2025)
por: Dizaji, Alireza, et al.
Publicado: (2025)
Probabilistic Inference in the Era of Tensor Networks and Differential Programming
por: Roa-Villescas, Martin, et al.
Publicado: (2024)
por: Roa-Villescas, Martin, et al.
Publicado: (2024)
A Fully Probabilistic Tensor Network for Regularized Volterra System Identification
por: Kilic, Afra, et al.
Publicado: (2025)
por: Kilic, Afra, et al.
Publicado: (2025)
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
por: Elshamy, Mohamed R., et al.
Publicado: (2025)
por: Elshamy, Mohamed R., et al.
Publicado: (2025)
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
por: Huang, Shenyang, et al.
Publicado: (2024)
por: Huang, Shenyang, et al.
Publicado: (2024)
Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
por: Aktar, Shamminuj, et al.
Publicado: (2024)
por: Aktar, Shamminuj, et al.
Publicado: (2024)
ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
por: Bakhtyari, Mohammadreza, et al.
Publicado: (2025)
por: Bakhtyari, Mohammadreza, et al.
Publicado: (2025)
GFlowNets for Hamiltonian decomposition in groups of compatible operators
por: Huidobro-Meezs, Isaac L., et al.
Publicado: (2024)
por: Huidobro-Meezs, Isaac L., et al.
Publicado: (2024)
Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
por: Casagrande, Heitor P., et al.
Publicado: (2024)
por: Casagrande, Heitor P., et al.
Publicado: (2024)
Efficient Training of Probabilistic Neural Networks for Survival Analysis
por: Lillelund, Christian Marius, et al.
Publicado: (2024)
por: Lillelund, Christian Marius, et al.
Publicado: (2024)
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
por: Thuy, Ta Thanh, et al.
Publicado: (2026)
por: Thuy, Ta Thanh, et al.
Publicado: (2026)
MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs
por: Shamsi, Kiarash, et al.
Publicado: (2024)
por: Shamsi, Kiarash, et al.
Publicado: (2024)
TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
por: Chmura, Jacob, et al.
Publicado: (2025)
por: Chmura, Jacob, et al.
Publicado: (2025)
Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization
por: Nakamori, Tatsuhiro, et al.
Publicado: (2026)
por: Nakamori, Tatsuhiro, et al.
Publicado: (2026)
Factor Augmented Tensor-on-Tensor Neural Networks
por: Zhou, Guanhao, et al.
Publicado: (2024)
por: Zhou, Guanhao, et al.
Publicado: (2024)
An Efficient Difference-of-Convex Solver for Privacy Funnel
por: Huang, Teng-Hui, et al.
Publicado: (2024)
por: Huang, Teng-Hui, et al.
Publicado: (2024)
Are Large Language Models Good Temporal Graph Learners?
por: Huang, Shenyang, et al.
Publicado: (2025)
por: Huang, Shenyang, et al.
Publicado: (2025)
RL Fine-Tuning Heals OOD Forgetting in SFT
por: Jin, Hangzhan, et al.
Publicado: (2025)
por: Jin, Hangzhan, et al.
Publicado: (2025)
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
por: Li, Jingyang, et al.
Publicado: (2025)
por: Li, Jingyang, et al.
Publicado: (2025)
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
por: Baghershahi, Peyman, et al.
Publicado: (2022)
por: Baghershahi, Peyman, et al.
Publicado: (2022)
Descriptive versus Regulatory Uncertainty in Bounded Predictive Systems
por: Eldin, Ahmed Gamal
Publicado: (2026)
por: Eldin, Ahmed Gamal
Publicado: (2026)
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
por: Jang, Jun-Gi, et al.
Publicado: (2025)
por: Jang, Jun-Gi, et al.
Publicado: (2025)
Probabilistic Functional Neural Networks
por: Wang, Haixu, et al.
Publicado: (2025)
por: Wang, Haixu, et al.
Publicado: (2025)
Probabilistic Kolmogorov-Arnold Network
por: Polar, Andrew, et al.
Publicado: (2021)
por: Polar, Andrew, et al.
Publicado: (2021)
On the Efficient Marginalization of Probabilistic Sequence Models
por: Boyd, Alex
Publicado: (2024)
por: Boyd, Alex
Publicado: (2024)
Ejemplares similares
-
A Tensor Decomposition Perspective on Second-order RNNs
por: Lizaire, Maude, et al.
Publicado: (2024) -
ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2024) -
Model Merging via Data-Free Covariance Estimation
por: Hameed, Marawan Gamal Abdel, et al.
Publicado: (2026) -
Tensor Cookbook: Mastering Tensors through Diagrams
por: Rakhshan, Beheshteh T., et al.
Publicado: (2026) -
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
por: Heidari, Farzaneh, et al.
Publicado: (2026)