tensor train

Tensor Decomposition Meets Knowledge Compilation: A Study Comparing Tensor Trains with OBDDs AAAI 2025 Tensor Network-Constrained Kernel Machines as Gaussian Processes AISTATS 2025 Coarse-To-Fine Tensor Trains for Compact Visual Representations ICML 2024 From continuous-time formulations to discretization schemes: tensor trains and robust regression for BSDEs and parabolic PDEs JMLR 2024 Generalized Policy Iteration using Tensor Approximation for Hybrid Control ICLR 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 Efficient Structure-preserving Support Tensor Train Machine JMLR 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 Reverse-mode differentiation in arbitrary tensor network format: with application to supervised learning JMLR 2022 TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NeurIPS 2022 Matrix Product States for Inference in Discrete Probabilistic Models JMLR 2021 Solving high-dimensional parabolic PDEs using the tensor train format ICML 2021 Tensor-train density estimation UAI 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 Evolutionary Topology Search for Tensor Network Decomposition ICML 2020 Exploring Deep Hybrid Tensor-to-Vector Network Architectures for Regression Based Speech Enhancement Interspeech 2020 Tensorized Random Projections AISTATS 2020 Tensor Train Decomposition on TensorFlow (T3F) JMLR 2020 Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains ICCV 2019 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NeurIPS 2017 Supervised Learning with Tensor Networks NeurIPS 2016 Tensorizing Neural Networks NeurIPS 2015 Putting MRFs on a Tensor Train ICML 2014