Image de couverture de livre

Efficient Probabilistic Tensor Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hameed, Marawan Gamal Abdel, Rabusseau, Guillaume
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Tensor Decomposition Perspective on Second-order RNNs
par: Lizaire, Maude, et autres
Publié: (2024)

ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
par: Hameed, Marawan Gamal Abdel, et autres
Publié: (2024)

Model Merging via Data-Free Covariance Estimation
par: Hameed, Marawan Gamal Abdel, et autres
Publié: (2026)

Tensor Cookbook: Mastering Tensors through Diagrams
par: Rakhshan, Beheshteh T., et autres
Publié: (2026)

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
par: Heidari, Farzaneh, et autres
Publié: (2026)

Tractable Shapley Values and Interactions via Tensor Networks
par: Heidari, Farzaneh, et autres
Publié: (2025)

Generative Learning of Continuous Data by Tensor Networks
par: Meiburg, Alex, et autres
Publié: (2023)

KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
par: Lesens, Damien, et autres
Publié: (2025)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
par: Omranpour, Soroush, et autres
Publié: (2024)

Higher-Order Transformers With Kronecker-Structured Attention
par: Omranpour, Soroush, et autres
Publié: (2024)

FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
par: Dai, Jun, et autres
Publié: (2025)

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
par: Rizvi-Martel, Michael, et autres
Publié: (2026)

Grokking Finite-Dimensional Algebra
par: Notsawo, Pascal Jr Tikeng, et autres
Publié: (2026)

Grokking Beyond the Euclidean Norm of Model Parameters
par: Notsawo, Pascal Jr Tikeng, et autres
Publié: (2025)

On the Role of Depth in the Expressivity of RNNs
par: Lizaire, Maude, et autres
Publié: (2026)

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
par: Dizaji, Alireza, et autres
Publié: (2025)

Probabilistic Inference in the Era of Tensor Networks and Differential Programming
par: Roa-Villescas, Martin, et autres
Publié: (2024)

A Fully Probabilistic Tensor Network for Regularized Volterra System Identification
par: Kilic, Afra, et autres
Publié: (2025)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
par: Elshamy, Mohamed R., et autres
Publié: (2025)

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
par: Huang, Shenyang, et autres
Publié: (2024)

Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
par: Aktar, Shamminuj, et autres
Publié: (2024)

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
par: Bakhtyari, Mohammadreza, et autres
Publié: (2025)

GFlowNets for Hamiltonian decomposition in groups of compatible operators
par: Huidobro-Meezs, Isaac L., et autres
Publié: (2024)

Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
par: Casagrande, Heitor P., et autres
Publié: (2024)

Efficient Training of Probabilistic Neural Networks for Survival Analysis
par: Lillelund, Christian Marius, et autres
Publié: (2024)

ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
par: Thuy, Ta Thanh, et autres
Publié: (2026)

MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs
par: Shamsi, Kiarash, et autres
Publié: (2024)

TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
par: Chmura, Jacob, et autres
Publié: (2025)

Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization
par: Nakamori, Tatsuhiro, et autres
Publié: (2026)

Factor Augmented Tensor-on-Tensor Neural Networks
par: Zhou, Guanhao, et autres
Publié: (2024)

An Efficient Difference-of-Convex Solver for Privacy Funnel
par: Huang, Teng-Hui, et autres
Publié: (2024)

Are Large Language Models Good Temporal Graph Learners?
par: Huang, Shenyang, et autres
Publié: (2025)

RL Fine-Tuning Heals OOD Forgetting in SFT
par: Jin, Hangzhan, et autres
Publié: (2025)

Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
par: Li, Jingyang, et autres
Publié: (2025)

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
par: Baghershahi, Peyman, et autres
Publié: (2022)

Descriptive versus Regulatory Uncertainty in Bounded Predictive Systems
par: Eldin, Ahmed Gamal
Publié: (2026)

Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
par: Jang, Jun-Gi, et autres
Publié: (2025)

Probabilistic Functional Neural Networks
par: Wang, Haixu, et autres
Publié: (2025)

Probabilistic Kolmogorov-Arnold Network
par: Polar, Andrew, et autres
Publié: (2021)

On the Efficient Marginalization of Probabilistic Sequence Models
par: Boyd, Alex
Publié: (2024)