| Supervised Learning with Projected Entangled Pair States | Sep 12, 2020 | BIG-bench Machine LearningTensor Networks | —Unverified | 0 | 0 |
| Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data | Jan 22, 2021 | Tensor NetworksTime Series | —Unverified | 0 | 0 |
| Tetra-AML: Automatic Machine Learning via Tensor Networks | Mar 28, 2023 | Bayesian OptimizationHyperparameter Optimization | —Unverified | 0 | 0 |
| The Bayesian Method of Tensor Networks | Jan 1, 2021 | Tensor Networks | —Unverified | 0 | 0 |
| SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning | Apr 3, 2025 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Boltzmann machines as two-dimensional tensor networks | May 10, 2021 | BIG-bench Machine LearningTensor Networks | —Unverified | 0 | 0 |
| Boosting Binomial Exotic Option Pricing with Tensor Networks | May 7, 2025 | Tensor Networks | —Unverified | 0 | 0 |
| Application of quantum-inspired generative models to small molecular datasets | Apr 21, 2023 | Generative Adversarial NetworkTensor Networks | —Unverified | 0 | 0 |
| Certifying almost all quantum states with few single-qubit measurements | Apr 10, 2024 | AllBenchmarking | —Unverified | 0 | 0 |
| Técnicas Quantum-Inspired en Tensor Networks para Contextos Industriales | Mar 8, 2024 | Tensor Networks | —Unverified | 0 | 0 |
| Automatic Differentiation for Complex Valued SVD | Sep 4, 2019 | Tensor Networks | —Unverified | 0 | 0 |
| Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress | Mar 11, 2025 | Tensor Networks | —Unverified | 0 | 0 |
| Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching | May 29, 2023 | Tensor Networks | —Unverified | 0 | 0 |
| The Expressive Power of Parameterized Quantum Circuits | Oct 29, 2018 | Tensor Networks | —Unverified | 0 | 0 |
| CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks | Jan 25, 2024 | Model CompressionQuantization | —Unverified | 0 | 0 |
| A Unifying View on Implicit Bias in Training Linear Neural Networks | Oct 6, 2020 | Tensor Networks | —Unverified | 0 | 0 |
| Compositionality Unlocks Deep Interpretable Models | Apr 3, 2025 | Model CompressionTensor Networks | —Unverified | 0 | 0 |
| Compressing neural network by tensor network with exponentially fewer variational parameters | May 10, 2023 | Tensor Networks | —Unverified | 0 | 0 |
| Concentration of polynomial random matrices via Efron-Stein inequalities | Sep 6, 2022 | Tensor Networks | —Unverified | 0 | 0 |
| Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning | Oct 19, 2020 | Tensor Networks | —Unverified | 0 | 0 |
| Tensor-based Model Reduction and Identification for Generalized Memory Polynomial | Feb 28, 2025 | Tensor Networks | —Unverified | 0 | 0 |
| Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning | May 3, 2023 | Continual LearningRelational Reasoning | —Unverified | 0 | 0 |
| Control flow in active inference systems | Feb 25, 2023 | Tensor Networks | —Unverified | 0 | 0 |
| Convergence bounds for local least squares approximation | Aug 23, 2022 | Tensor Networks | —Unverified | 0 | 0 |
| Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition | Nov 20, 2018 | Privacy PreservingTensor Networks | —Unverified | 0 | 0 |