Learning and Inference in Hilbert Space with Quantum Graphical Models

29 October 2018

Papers citing "Learning and Inference in Hilbert Space with Quantum Graphical Models"

8 / 8 papers shown

Title
SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation Yilun Zhao Bingmeng Wang Wenle Jiang Xiwei Pan Bing Li Yinhe Han Ying Wang 21 1 0 10 Aug 2024
Kernel Density Matrices for Probabilistic Deep Learning Fabio A. González Raúl Ramos-Pollán Joseph A. Gallego-Mejia 11 2 0 26 May 2023
Nonparametric Topological Layers in Neural Networks Dongfang Zhao 13 0 0 27 Nov 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata Siddarth Srinivasan Sandesh Adhikary Jacob Miller Guillaume Rabusseau Byron Boots 11 15 0 20 Oct 2020
Kernel Mean Embeddings of Von Neumann-Algebra-Valued Measures Yuka Hashimoto Isao Ishikawa Masahiro Ikeda Fuyuta Komura Yoshinobu Kawahara 9 2 0 29 Jul 2020
Construction of 'Support Vector' Machine Feature Spaces via Deformed Weyl-Heisenberg Algebra Shahram Dehdashti Catarina Moreira A. Obeid P. Bruza 18 0 0 02 Jun 2020
Expressiveness and Learning of Hidden Quantum Markov Models Sandesh Adhikary Siddarth Srinivasan Geoffrey J. Gordon Byron Boots 13 11 0 02 Dec 2019
Learning Quantum Graphical Models using Constrained Gradient Descent on the Stiefel Manifold Sandesh Adhikary Siddarth Srinivasan Byron Boots 15 8 0 09 Mar 2019