Tensor Networks

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Most implemented papers archive 2025-07-28

30 shown of 71 papers with code (226 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Supervised Learning with Quantum-Inspired Tensor Networks
  18 May 2016 4 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  Tensor networks are efficient representations of high-dimensional tensors which have been very successful for physics and mathematics applications.
• TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
  3 May 2019 3 repositories listed
  TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow.
• Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure
  13 Oct 2017 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We study the quantum features of the TN states, including quantum entanglement and fidelity.
• Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
  20 Nov 2021 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Furthermore, background knowledge represented by RWFNs can be used to alleviate the incompleteness of training sets even though the space complexity of RWFNs is much smaller than LTNs (1:27 ratio).
• Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
  5 Jul 2021 2 repositories listed
  The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation.
• Logic Tensor Networks
  25 Dec 2020 2 repositories listed
  In this paper, we present Logic Tensor Networks (LTN), a neurosymbolic formalism and computational model that supports learning and reasoning through the introduction of a many-valued, end-to-end differentiable…
• Tensor Networks for Medical Image Classification
  21 Apr 2020 2 repositories listed Syntology ran 1 of 6 samples · 5 unverified
  With the increasing adoption of machine learning tools like neural networks across several domains, interesting connections and comparisons to concepts from other domains are coming to light.
• Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
  1 Oct 2019 2 repositories listed
  This requires the detection of visual relationships: triples (subject, relation, object) describing a semantic relation between a subject and an object.
• TensorNetwork: A Library for Physics and Machine Learning
  3 May 2019 2 repositories listed
  TensorNetwork is an open source library for implementing tensor network algorithms.
• Ask Me Even More: Dynamic Memory Tensor Networks (Extended Model)
  11 Mar 2017 2 repositories listed
  We propose extensions for the Dynamic Memory Network (DMN), specifically within the attention mechanism, we call the resulting Neural Architecture as Dynamic Memory Tensor Network (DMTN).
• Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
  14 Jun 2016 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  We propose Logic Tensor Networks: a uniform framework for integrating automatic learning and reasoning.
• Tensor Network for Anomaly Detection in the Latent Space of Proton Collision Events at the LHC
  30 May 2025 1 repository listed
  The pursuit of discovering new phenomena at the Large Hadron Collider (LHC) demands constant innovation in algorithms and technologies.
• A tensor network approach for chaotic time series prediction
  23 May 2025 1 repository listed
  This paper explores the application of a previously proposed tensor network model for predicting chaotic time series, demonstrating its advantages in terms of accuracy and computational efficiency compared to…
• Quantum Methods for Managing Ambiguity in Natural Language Processing
  30 Mar 2025 1 repository listed
  The Categorical Compositional Distributional (DisCoCat) framework models meaning in natural language using the mathematical framework of quantum theory, expressed as formal diagrams.
• tn4ml: Tensor Network Training and Customization for Machine Learning
  18 Feb 2025 1 repository listed
  Tensor Networks have emerged as a prominent alternative to neural networks for addressing Machine Learning challenges in foundational sciences, paving the way for their applications to real-life problems.
• Comb Tensor Networks vs. Matrix Product States: Enhanced Efficiency in High-Dimensional Spaces
  8 Dec 2024 1 repository listed
  Modern approaches to generative modeling of continuous data using tensor networks incorporate compression layers to capture the most meaningful features of high-dimensional inputs.
• LTNtorch: PyTorch Implementation of Logic Tensor Networks
  24 Sep 2024 1 repository listed
  This makes learning by logical reasoning possible as the parameters of the model are optimized by minimizing a loss function composed of a set of logical formulas expressing facts about the learning task.
• Learning out-of-time-ordered correlators with classical kernel methods
  3 Sep 2024 1 repository listed
  For each set, we investigate whether classical kernel methods (KMs) can accurately learn the XZ-OTOC and a particular sum of OTOCs, as functions of the Hamiltonian parameters.
• Coarse-To-Fine Tensor Trains for Compact Visual Representations
  6 Jun 2024 1 repository listed
  This has prevented practitioners from deploying the full potential of tensor networks for visual data.
• Learning topological states from randomized measurements using variational tensor network tomography
  31 May 2024 1 repository listed
  Learning faithful representations of quantum states is crucial to fully characterizing the variety of many-body states created on quantum processors.
• Cons-training Tensor Networks: Embedding and Optimization Over Discrete Linear Constraints
  15 May 2024 1 repository listed
  In this study, we introduce a novel family of tensor networks, termed constrained matrix product states (MPS), designed to incorporate exactly arbitrary discrete linear constraints, including inequalities, into sparse…
• Tensor Network-Constrained Kernel Machines as Gaussian Processes
  28 Mar 2024 1 repository listed
  We analyze the convergence of both CPD and TT-constrained models, and show how TT yields models exhibiting more GP behavior compared to CPD, for the same number of model parameters.
• tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
  4 Feb 2024 1 repository listed Syntology ran 1 of 4 samples · 3 unverified · 4 pointer-only (licence)
  Tensor networks are efficient for extremely high-dimensional representation, but their model selection, known as tensor network structure search (TN-SS), is a challenging problem.
• Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
  2 Oct 2023 1 repository listed
  Quantum machine learning researchers often rely on incorporating Tensor Networks (TN) into Deep Neural Networks (DNN) and variational optimization.
• Symbolically integrating tensor networks over various random tensors by the second version of Python RTNI
  3 Sep 2023 1 repository listed
  We are upgrading the Python-version of RTNI, which symbolically integrates tensor networks over the Haar-distributed unitary matrices.
• Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
  29 Jul 2023 1 repository listed
  The latter allow, for instance, to handle exceptions in class-level attributes, and to enforce similarity between images of the same class, preventing premature overfitting to seen classes and improving overall…
• logLTN: Differentiable Fuzzy Logic in the Logarithm Space
  26 Jun 2023 1 repository listed
  A significant trend in the literature involves integrating axioms and facts in loss functions by grounding logical symbols with neural networks and operators with fuzzy semantics.
• TensorKrowch: Smooth integration of tensor networks in machine learning
  14 Jun 2023 1 repository listed
  Tensor networks are factorizations of high-dimensional tensors into networks of smaller tensors.
• ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
  4 Apr 2023 1 repository listed
  Quantum many-body physics simulation has important impacts on understanding fundamental science and has applications to quantum materials design and quantum technology.
• Interval Logic Tensor Networks
  31 Mar 2023 1 repository listed
  In this paper, we introduce Interval Real Logic (IRL), a two-sorted logic that interprets knowledge such as sequential properties (traces) and event properties using sequences of real-featured data.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.