Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational
Wave Population Study

Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study

15 November 2022

Kaze W. K. Wong

Papers citing "Normalizing Flows for Hierarchical Bayesian Analysis: A Gravitational Wave Population Study"

19 / 19 papers shown

Title
Automated discovery of interpretable gravitational-wave population models Kaze W. K. Wong M. Cranmer 34 8 0 25 Jul 2022
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference M. Vandegar Michael Kagan Antoine Wehenkel Gilles Louppe 55 28 0 11 Nov 2020
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 58 76 0 14 Oct 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 65 29 0 02 Jun 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 191 1,687 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 393 42,299 0 03 Dec 2019
Block Neural Autoregressive Flow Nicola De Cao Ivan Titov Wilker Aziz DRL 46 123 0 09 Apr 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 144 1,050 0 18 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 279 3,124 0 09 Jul 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 74 253 0 15 Mar 2018
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 195 1,351 0 19 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 748 5,798 0 05 Dec 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 127 1,816 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 250 3,693 0 26 May 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 750 9,290 0 06 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 300 4,167 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,276 0 09 Jun 2012
Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations J. Bovy D. Hogg S. Roweis 76 126 0 19 May 2009