In conjunction with NeurIPS 2020 @ December 2020
- Quantum Tensor Network in Machine Learning:An Application to Tiny Object Classification. (PDF)
Fanjie Kong, Xiao-Yang Liu, Ricardo Henao
- MARS: Masked Automatic Ranks Selection in Tensor Decompositions. (PDF)
Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov
- Tensor network approaches for data-driven identification of non-linear dynamical laws. (PDF)
Alex Goeßmann, Michael Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
- Parallel TTr1-Tensor: Randomized Compression-based Scheme for Tensor Train Rank-1 Decomposition. (PDF)
Zeliang Zhang, Junzhe Zhang, Guoping Lin, Zeyuan Yin, Kun He
- Adaptive Tensor Learning with Tensor Networks. (PDF)
Meraj Hashemizadeh, Michelle Liu, Jacob Miller, Guillaume Rabusseau
- Anomaly Detection with Tensor Networks. (PDF)
JinhuiWang, Chase Roberts, Guifre Vidal, Stefan Leichenauer
- A Variational Quantum Circuit Model for Knowledge Graph Embeddings. (PDF)
Yunpu Ma, Volker Tresp
- Training a Quantum PointNet with Nesterov Accelerated Gradient Estimation by Projection. (PDF)
(Poster)
Ruoxi Shi, Hao Tang, Xian-Min Jin
- Multi-Graph Tensor Networks. (PDF) (Poster)
Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic
- Tangent-space gradient optimization: an efficient update scheme for tensor network machine learning and beyond. (PDF)
Zheng-Zhi Sun, Shi-Ju Ran, Gang Suy
- Practical application improvement to Quantum SVM:theory to practice. (PDF)
Jae-Eun Park, Brian Quanz, Steve Wood, Heather Higgins, Ray Harishankar
- Tensor Networks for Probabilistic Sequence Modeling. (PDF)
Jacob E Miller, Guillaume Rabusseau, John Terilla
- Quantum Tensor Networks, Stochastic Processes, andWeighted Automata. (PDF)
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Guillaume Rabusseau, Byron Boots
- Bosonic RandomWalk Networks for Graph Learning. (PDF)
Shiv Shankar, Don Towsley
- Quantum Tensor Networks for Variational Reinforcement Learning. (PDF)
Xiao-Yang Liu, Yiming Fang
- Tensor Decomposition via Core Tensor Networks. (PDF)
Jianfu Zhang, Zerui Tao, Qibin Zhao, Liqing Zhang
- High Performance Single-Site Finite DMRG on GPUs. (PDF)
Hao Hong, Hao Huang, Tao Zhang, Xiao-Yang Liu
- Deep convolutional tensor network. (PDF)
Philip Blagoveschensky, Anh-Huy Phan
- Bayesian Tensor Regression Of Random Fields. (PDF)
Max Kirstein, Martin Eigel, Dimitrios Bariamis
- Evolutionary Topology Search for Tensor Network Decomposition: an Extended Abstract. (PDF)
Chao Li, Zhun Sun, Junhua Zeng, Qibin Zhao
- Multi-layered tensor networks for image classification. (PDF)
Raghavendra Selvan, Silas Ørting, Erik B Dam
- Modeling Natural Language via Quantum Many-bodyWave Function and Tensor Network. (PDF)
(Poster)
Yitong Yao, Peng Zhang, Jing Zhang
- A Neural Matching Model based on Quantum Interference and Quantum Many-body System. (PDF)
Hui Gao, Peng Zhang
- Learning Phase Transition in Ising Model with Tensor-Network Born Machines. (PDF)
Ahmadreza Azizi, Khadijeh Najafi, Masoud Mohseni
- Limitations of gradient-based Born Machines over tensor networks on learning quantum nonlocality. (PDF)
Khadijeh Najafi, Ahmadreza Azizi, Miles Stoudenmire, Xun Gao, Susanne Yelin, Mikhail Lukin, Masoud Mohseni
- Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. (PDF)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
- Tensor, Tensor Networks, Quantum Tensor Networks in Machine Learning: An Hourglass Architecture. (PDF)
Xiao-Yang Liu, Qibin Zhao, Jacob Biamonte, Anwar Walid
- High-order Learning Model via Fractional Tensor Network Decomposition. (PDF)
Chao Li, Zhun Sun, Qibin Zhao
- High Performance Computing Primitives for Tensor Networks Learning Operations on GPUs. (PDF)
Xiao-Yang Liu, Tao Zhang, Hao Hong, Hao Huang, Han Lu