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Tensor Networks

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Showing 151–200 of 226 papers

TitleStatusHype
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata—0
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning—0
A Unifying View on Implicit Bias in Training Linear Neural Networks—0
Use Cases of Quantum Optimization for Finance—0
Locally orderless tensor networks for classifying two- and three-dimensional medical imagesCode0
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequence—0
Supervised Learning with Projected Entangled Pair States—0
Adaptive Learning of Tensor Network Structures—0
T-Basis: a Compact Representation for Neural NetworksCode1
Entanglement and Tensor Networks for Supervised Image Classification—0
Learning with tree tensor networks: complexity estimates and model selection—0
Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part I—0
Approximation Theory of Tree Tensor Networks: Tensorized Univariate Functions -- Part II—0
Anomaly Detection with Tensor Networks—0
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness—0
Deep convolutional tensor networkCode1
Quantum-Classical Machine learning by Hybrid Tensor NetworksCode0
Quantum-inspired Machine Learning on high-energy physics data—0
Tensor Networks for Medical Image ClassificationCode1
Depth Enables Long-Term Memory for Recurrent Neural Networks—0
Tensor Networks for Probabilistic Sequence ModelingCode1
Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition ApproachCode0
A Multi-Scale Tensor Network Architecture for Classification and Regression—0
Algorithms for Tensor Network Contraction OrderingCode1
Learning high-dimensional probability distributions using tree tensor networks—0
Expressive power of tensor-network factorizations for probabilistic modelingCode1
Tensor-based algorithms for image classificationCode0
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
The Neural State Pushdown Automata—0
Automatic Differentiation for Complex Valued SVD—0
Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph DecompositionsCode0
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learningCode1
Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese—0
Machine Learning Phase Transitions with a Quantum Processor—0
Convolutional Polar Codes on Channels with Memory using Tensor Networks—0
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks—0
TensorNetwork for Machine LearningCode0
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning—0
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor NetworksCode0
TensorNetwork: A Library for Physics and Machine LearningCode0
Incremental multi-domain learning with network latent tensor factorization—0
A Generalized Language Model in Tensor SpaceCode0
Tree Tensor Networks for Generative Modeling—0
Quantum computing and the brain: quantum nets, dessins d'enfants and neural networks—0
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition—0
Deep Compression of Sum-Product Networks on Tensor Networks—0
Spectral Methods from Tensor Networks—0
The Expressive Power of Parameterized Quantum Circuits—0
From probabilistic graphical models to generalized tensor networks for supervised learning—0
Neural Tensor Networks with Diagonal Slice Matrices—0
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