{"total":54,"rows":[{"id":"2107.03436","title":"Tensor Methods in Computer Vision and Deep Learning","created":"2021-07-07","cited_by_count":52,"area":null},{"id":"2202.07477","title":"Understanding DDPM Latent Codes Through Optimal Transport","created":"2022-02-14","cited_by_count":45,"area":"diffusion"},{"id":"2302.09019","title":"Tensor Networks Meet Neural Networks: A Survey and Future Perspectives","created":"2023-01-22","cited_by_count":32,"area":null},{"id":"2106.00136","title":"Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning","created":"2021-05-31","cited_by_count":25,"area":null},{"id":"2303.11735","title":"Tensor networks for quantum machine learning","created":"2023-03-21","cited_by_count":17,"area":null},{"id":"2304.12875","title":"Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations","created":"2023-04-25","cited_by_count":12,"area":null},{"id":"2303.13565","title":"Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains","created":"2023-03-23","cited_by_count":10,"area":null},{"id":"2310.20498","title":"Generative Learning of Continuous Data by Tensor Networks","created":"2023-10-31","cited_by_count":9,"area":null},{"id":"2110.07631","title":"More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees","created":"2021-10-14","cited_by_count":7,"area":null},{"id":"2110.14524","title":"Model based Multi-agent Reinforcement Learning with Tensor Decompositions","created":"2021-10-27","cited_by_count":7,"area":null},{"id":"2207.02851","title":"Tensor networks in machine learning","created":"2022-07-06","cited_by_count":7,"area":null},{"id":"2104.05048","title":"Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification","created":"2021-04-11","cited_by_count":6,"area":null},{"id":"2105.04983","title":"Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting","created":"2021-05-11","cited_by_count":6,"area":null},{"id":"2110.14538","title":"Reinforcement Learning in Factored Action Spaces using Tensor Decompositions","created":"2021-10-27","cited_by_count":6,"area":null},{"id":"2309.05436","title":"Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models","created":"2023-09-11","cited_by_count":6,"area":null},{"id":"2402.02456","title":"tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)","created":"2024-02-04","cited_by_count":5,"area":null},{"id":"2103.11785","title":"Entangled q-Convolutional Neural Nets","created":"2021-03-06","cited_by_count":4,"area":null},{"id":"2106.04741","title":"Marginalizable Density Models","created":"2021-06-08","cited_by_count":4,"area":null},{"id":"2205.04490","title":"Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks","created":"2022-05-09","cited_by_count":4,"area":null},{"id":"2205.12961","title":"Position: Tensor Networks are a Valuable Asset for Green AI","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2211.14085","title":"Positive unlabeled learning with tensor networks","created":"2022-11-25","cited_by_count":3,"area":null},{"id":"2306.11123","title":"To Fold or Not to Fold: Graph Regularized Tensor Train for Visual Data Completion","created":"2023-06-19","cited_by_count":3,"area":null},{"id":"2403.19500","title":"Tensor Network-Constrained Kernel Machines as Gaussian Processes","created":"2024-03-28","cited_by_count":3,"area":null},{"id":"2101.04194","title":"Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation","created":"2021-01-04","cited_by_count":2,"area":null},{"id":"2101.09184","title":"Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data","created":"2021-01-22","cited_by_count":2,"area":null},{"id":"2110.09163","title":"A Dimensionality Reduction Approach for Convolutional Neural Networks","created":"2021-10-18","cited_by_count":2,"area":null},{"id":"2110.12564","title":"A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2203.04352","title":"TTML: tensor trains for general supervised machine learning","created":"2022-03-08","cited_by_count":2,"area":null},{"id":"2210.03828","title":"Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks","created":"2022-10-07","cited_by_count":2,"area":null},{"id":"2303.10974","title":"Translate your gibberish: black-box adversarial attack on machine translation systems","created":"2023-03-20","cited_by_count":2,"area":null},{"id":"2401.10748","title":"Fast gradient-free activation maximization for neurons in spiking neural networks","created":"2023-12-28","cited_by_count":2,"area":null},{"id":"2407.11292","title":"LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2103.08277","title":"Representation Theorem for Matrix Product States","created":"2021-03-15","cited_by_count":1,"area":null},{"id":"2401.03384","title":"conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks","created":"2024-01-07","cited_by_count":1,"area":null},{"id":"2409.17502","title":"Broadcast Product: Redefining Shape-aligned Element-wise Multiplication and Beyond","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2412.19780","title":"Tensor Network Estimation of Distribution Algorithms","created":"2024-12-27","cited_by_count":1,"area":null},{"id":"2604.26673","title":"Laplace Approximation for Bayesian Tensor Network Kernel Machines","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2101.01078","title":"Topology-aware Tensor Decomposition for Meta-graph Learning","created":"2021-01-04","cited_by_count":0,"area":null},{"id":"2103.14998","title":"Tensor Networks for Multi-Modal Non-Euclidean Data","created":"2021-03-27","cited_by_count":0,"area":null},{"id":"2211.05581","title":"Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling","created":"2022-10-26","cited_by_count":0,"area":null},{"id":"2305.02803","title":"Tensor PCA from basis in tensor space","created":"2023-04-11","cited_by_count":0,"area":null},{"id":"2309.02428","title":"Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework","created":"2023-09-05","cited_by_count":0,"area":null},{"id":"2402.02890","title":"Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition","created":"2024-02-05","cited_by_count":0,"area":null},{"id":"2408.02045","title":"DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation","created":"2024-08-04","cited_by_count":0,"area":null},{"id":"2511.06527","title":"Efficient Approximation of Volterra Series for High-Dimensional Systems","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2512.23917","title":"Tensor Computing Interface: An Application-Oriented, Lightweight Interface for Portable High-Performance Tensor Network Applications","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2512.24663","title":"Renormalization Group Guided Tensor Network Structure Search","created":"2025-12-31","cited_by_count":0,"area":null},{"id":"2604.05856","title":"Neural Network Pruning via QUBO Optimization","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2604.06541","title":"Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2604.14287","title":"Quantum-inspired tensor networks in machine learning models","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2606.00130","title":"Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2608.07043","title":"Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2609.39164","title":"QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.06080","title":"Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}