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Tensor Networks

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Showing 51–100 of 226 papers

TitleStatusHype
Deep tensor networks with matrix product operators—0
Density peak clustering using tensor network—0
Depth Enables Long-Term Memory for Recurrent Neural Networks—0
Detecting Violations of Differential Privacy for Quantum Algorithms—0
Application of quantum-inspired generative models to small molecular datasets—0
Learning to Classify Quantum Phases of Matter with a Few Measurements—0
Distributive Pre-Training of Generative Modeling Using Matrix-Product States—0
Domain-Aware Tensor Network Structure Search—0
Duality of Graphical Models and Tensor Networks—0
Certifying almost all quantum states with few single-qubit measurements—0
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling—0
Efficient tensor network simulation of IBM's largest quantum processors—0
Linear to multi-linear algebra and systems using tensors—0
Barren Plateaus in Variational Quantum Computing—0
Compositionality Unlocks Deep Interpretable Models—0
Learning high-dimensional probability distributions using tree tensor networks—0
Anomaly Detection with Tensor Networks—0
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning—0
CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks—0
Anomaly Detection from a Tensor Train Perspective—0
Learning Relevant Features of Data with Multi-scale Tensor Networks—0
A Recursive Recurrent Neural Network for Statistical Machine Translation—0
A quatum inspired neural network for geometric modeling—0
Fast algorithm for overcomplete order-3 tensor decomposition—0
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare—0
Financial Risk Management on a Neutral Atom Quantum Processor—0
Compressing neural network by tensor network with exponentially fewer variational parameters—0
Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems—0
Explaining Anomalies with Tensor Networks—0
Generative-enhanced optimization for knapsack problems: an industry-relevant study—0
Generative Learning of Continuous Data by Tensor Networks—0
Global sensitivity analysis in probabilistic graphical models—0
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains—0
Unifying O(3) Equivariant Neural Networks Design with Tensor-Network Formalism—0
Group-invariant tensor train networks for supervised learning—0
HMAE: Self-Supervised Few-Shot Learning for Quantum Spin Systems—0
Generalization Metrics for Practical Quantum Advantage in Generative Models—0
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit—0
Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning—0
Incremental multi-domain learning with network latent tensor factorization—0
Indoor and Outdoor 3D Scene Graph Generation via Language-Enabled Spatial Ontologies—0
Infinitely Wide Tensor Networks as Gaussian Process—0
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks—0
Convolutional Polar Codes on Channels with Memory using Tensor Networks—0
Investigating Logic Tensor Networks for Neural-Symbolic Argument Mining—0
Knowledge-Driven Event Embedding for Stock Prediction—0
Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching—0
Language Design as Information Renormalization—0
Learning Distributed Word Representations for Natural Logic Reasoning—0
Adaptive Learning of Tensor Network Structures—0
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