Stochastic Backpropagation through Mixture Density Distributions

19 July 2016

Papers citing "Stochastic Backpropagation through Mixture Density Distributions"

9 / 9 papers shown

Title
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 51 3 0 30 Jun 2024
Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial Yang Zhi-Han BDL DRL 35 5 0 16 Aug 2022
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank D. Wood 28 19 0 18 Jun 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 41 66 0 15 Feb 2021
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 36 20 0 08 Mar 2020
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 43 397 0 25 Jun 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 32 8 0 23 May 2019
Pathwise Derivatives Beyond the Reparameterization Trick M. Jankowiak F. Obermeyer 30 110 0 05 Jun 2018
Discrete Variational Autoencoders J. Rolfe BDL DRL 35 254 0 07 Sep 2016