Constraining the Dynamics of Deep Probabilistic Models

v1v2 (latest)

Constraining the Dynamics of Deep Probabilistic Models

15 February 2018

Marco Lorenzi

Maurizio Filippone

ArXiv (abs)PDF HTML

Papers citing "Constraining the Dynamics of Deep Probabilistic Models"

9 / 9 papers shown

Title
Scalable Variational Inference for Dynamical Systems Nico S. Gorbach Stefan Bauer J. M. Buhmann BDL 48 49 0 19 May 2017
Random Feature Expansions for Deep Gaussian Processes Kurt Cutajar Edwin V. Bonilla Pietro Michiardi Maurizio Filippone BDL 44 144 0 14 Oct 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,312 0 22 Dec 2014
Probabilistic ODE Solvers with Runge-Kutta Means Michael Schober David Duvenaud Philipp Hennig 96 116 0 10 Jun 2014
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 170 274 0 24 Feb 2014
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations Javier I. González I. Vujačić Ernst C. Wit 80 37 0 14 Nov 2013
Expectation Propagation for approximate Bayesian inference T. Minka 137 1,909 0 10 Jan 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 146 1,184 0 02 Nov 2012
Linear Latent Force Models using Gaussian Processes Mauricio A. Alvarez D. Luengo Neil D. Lawrence 87 124 0 13 Jul 2011