Quantum Adaptive Fourier Features for Neural Density Estimation

1 August 2022

Papers citing "Quantum Adaptive Fourier Features for Neural Density Estimation"

12 / 12 papers shown

Title
Learning with Density Matrices and Random Features Fabio A. González Joseph A. Gallego-Mejia Santiago Toledo-Cortés Vladimir Vargas-Calderón 40 29 0 08 Feb 2021
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling Fanghui Liu Xiaolin Huang Yudong Chen Jie Yang Johan A. K. Suykens 57 21 0 20 Nov 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 141 761 0 10 Jun 2019
Not-So-Random Features Brian Bullins Cyril Zhang Yi Zhang 43 20 0 27 Oct 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 155 1,343 0 19 May 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 95 1,805 0 15 Jun 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 216 3,681 0 26 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 272 4,143 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 130 863 0 12 Feb 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 70 166 0 29 Dec 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 118 2,251 0 30 Oct 2014
ASKIT: Approximate Skeletonization Kernel-Independent Treecode in High Dimensions William B. March Bo Xiao George Biros 49 51 0 01 Oct 2014