Cover Image

Efficient Probabilistic Tensor Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hameed, Marawan Gamal Abdel, Rabusseau, Guillaume
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tensor Decomposition Perspective on Second-order RNNs
by: Lizaire, Maude, et al.
Published: (2024)

ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2024)

Model Merging via Data-Free Covariance Estimation
by: Hameed, Marawan Gamal Abdel, et al.
Published: (2026)

Tensor Cookbook: Mastering Tensors through Diagrams
by: Rakhshan, Beheshteh T., et al.
Published: (2026)

TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
by: Heidari, Farzaneh, et al.
Published: (2026)

Tractable Shapley Values and Interactions via Tensor Networks
by: Heidari, Farzaneh, et al.
Published: (2025)

Generative Learning of Continuous Data by Tensor Networks
by: Meiburg, Alex, et al.
Published: (2023)

KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
by: Lesens, Damien, et al.
Published: (2025)

Higher Order Transformers: Enhancing Stock Movement Prediction On Multimodal Time-Series Data
by: Omranpour, Soroush, et al.
Published: (2024)

Higher-Order Transformers With Kronecker-Structured Attention
by: Omranpour, Soroush, et al.
Published: (2024)

FlowQ-Net: A Generative Framework for Automated Quantum Circuit Design
by: Dai, Jun, et al.
Published: (2025)

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
by: Rizvi-Martel, Michael, et al.
Published: (2026)

Grokking Finite-Dimensional Algebra
by: Notsawo, Pascal Jr Tikeng, et al.
Published: (2026)

Grokking Beyond the Euclidean Norm of Model Parameters
by: Notsawo, Pascal Jr Tikeng, et al.
Published: (2025)

On the Role of Depth in the Expressivity of RNNs
by: Lizaire, Maude, et al.
Published: (2026)

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
by: Dizaji, Alireza, et al.
Published: (2025)

Probabilistic Inference in the Era of Tensor Networks and Differential Programming
by: Roa-Villescas, Martin, et al.
Published: (2024)

A Fully Probabilistic Tensor Network for Regularized Volterra System Identification
by: Kilic, Afra, et al.
Published: (2025)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
by: Elshamy, Mohamed R., et al.
Published: (2025)

UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphs
by: Huang, Shenyang, et al.
Published: (2024)

Graph Neural Networks for Parameterized Quantum Circuits Expressibility Estimation
by: Aktar, Shamminuj, et al.
Published: (2024)

ClustRecNet: A Novel End-to-End Deep Learning Framework for Clustering Algorithm Recommendation
by: Bakhtyari, Mohammadreza, et al.
Published: (2025)

GFlowNets for Hamiltonian decomposition in groups of compatible operators
by: Huidobro-Meezs, Isaac L., et al.
Published: (2024)

Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
by: Casagrande, Heitor P., et al.
Published: (2024)

Efficient Training of Probabilistic Neural Networks for Survival Analysis
by: Lillelund, Christian Marius, et al.
Published: (2024)

ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
by: Thuy, Ta Thanh, et al.
Published: (2026)

MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs
by: Shamsi, Kiarash, et al.
Published: (2024)

TGM: a Modular and Efficient Library for Machine Learning on Temporal Graphs
by: Chmura, Jacob, et al.
Published: (2025)

Orth-Dion: Eliminating Geometric Mismatch in Distributed Low-Rank Spectral Optimization
by: Nakamori, Tatsuhiro, et al.
Published: (2026)

Factor Augmented Tensor-on-Tensor Neural Networks
by: Zhou, Guanhao, et al.
Published: (2024)

An Efficient Difference-of-Convex Solver for Privacy Funnel
by: Huang, Teng-Hui, et al.
Published: (2024)

Are Large Language Models Good Temporal Graph Learners?
by: Huang, Shenyang, et al.
Published: (2025)

RL Fine-Tuning Heals OOD Forgetting in SFT
by: Jin, Hangzhan, et al.
Published: (2025)

Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
by: Li, Jingyang, et al.
Published: (2025)

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
by: Baghershahi, Peyman, et al.
Published: (2022)

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

Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
by: Jang, Jun-Gi, et al.
Published: (2025)

Probabilistic Functional Neural Networks
by: Wang, Haixu, et al.
Published: (2025)

Probabilistic Kolmogorov-Arnold Network
by: Polar, Andrew, et al.
Published: (2021)

On the Efficient Marginalization of Probabilistic Sequence Models
by: Boyd, Alex
Published: (2024)