Neural Density Estimation and Likelihood-free Inference

29 October 2019

Papers citing "Neural Density Estimation and Likelihood-free Inference"

11 / 11 papers shown

Title
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 33 0 0 30 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 34 3 0 29 Apr 2024
Universal Approximation and the Topological Neural Network M. Kouritzin Daniel Richard 16 0 0 26 May 2023
Machine-Learned Exclusion Limits without Binning E. Arganda Andrés D. Pérez M. D. L. Rios Rosa María Sandá Seoane 25 9 0 09 Nov 2022
Solving Schrödinger Bridges via Maximum Likelihood Francisco Vargas Pierre Thodoroff Neil D. Lawrence A. Lamacraft OT 18 131 0 03 Jun 2021
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 34 117 0 10 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,344 0 12 Dec 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 99 324 0 09 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012