In conjunction with NeurIPS 2021 @ December 2021
- Bayesian Tensor Networks with Structured Posteriors (PDF)
Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic, Qibin Zhao
- A Tensorized Spectral Attention Mechanism for Efficient Natural Language Processing (PDF)
Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic
- Multi-dimensional Visual Data Completion via Low-rank Tensor Represention under Coupled Transform (PDF)
Jian-Li Wang, Ting-Zhu Huang,Xi-Le Zhao,Tai-Xiang Jiang, Michael K. Ng
- Matrix product state for quantum-inspired feature extraction and compressed sensing (PDF)
Wen-Jun Li, Zheng-Zhi Sun, Ya-Ru Wang, Shi-Ju Ran, Gang Su
- Model based Multi-agent Reinforcement Learning with Tensor Decompositions (PDF)
Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson
- Improvements to Gradient Descent Methods for Quantum Tensor Network Machine Learning (PDF)
Fergus Barratt, James Dborin, Lewis Wright
- Rademacher Random Projections with Tensor Networks (PDF)
Beheshteh T. Rakhshan, Guillaume Rabusseau
- Bayesian Latent Factor Model for Higher-order Data: an Extended Abstract (PDF)
Zerui Tao, Xuyang Zhao, Toshihisa Tanaka, Qibin Zhao
- Is Rank Minimization of the Essence to Learn Tensor Network Structure? (PDF)
Chao Li, Qibin Zhao
- Reinforcement Learning in Factored Action Spaces using Tensor Decompositions (PDF)
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg
Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
- Towards a Trace-Preserving Tensor Network Representation of Quantum Channels (PDF)
Siddarth Srinivasan, Sandesh Adhikary, Jacob Miller, Bibek Pokharel, Guillaume Rabusseau, Byron Boots
- Born Machines for Periodic and Open XY Quantum Spin Chains (PDF)
Abigail McClain Gomez, Susanne F. Yelin, Khadijeh Najafi
- Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework (PDF)
Jacob Miller, Geoffrey Roeder, Tai-Danae Bradley
- Distributive Pre-training of Generative Modeling Using Matrix Product States (PDF)
Sheng-Hsuan Lin, Olivier Kuijpers, Sebastian Peterhansl, Frank Pollmann
- QTN-VQC: An End-to-End Learning Framework for Quantum Neural Networks (PDF)
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen
- ContracTN: A Tensor Network Library Designed for Machine Learning (PDF)
Jacob Miller, Guillaume Rabusseau
- Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning (PDF)
Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal
- Nonparametric tensor estimation with unknown permutations (PDF)
Chanwoo Lee, Miaoyan Wang
- Tensor Rings for Learning Circular Hidden Markov Models (PDF)
Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob
- Multiway Spherical Clustering via Degree-Corrected Tensor Block Models (PDF)
Jiaxin Hu, Miaoyan Wang