Energy-Inspired Models: Learning with Sampler-Induced Distributions

31 October 2019

Papers citing "Energy-Inspired Models: Learning with Sampler-Induced Distributions"

9 / 9 papers shown

Title
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 45 2 0 02 Oct 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 21 1 0 26 Sep 2023
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 13 15 0 13 Jun 2022
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform Achille Thin Yazid Janati Sylvain Le Corff Charles Ollion Arnaud Doucet Alain Durmus Eric Moulines C. Robert 25 7 0 17 Mar 2021
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 21 19 0 10 Jul 2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference Rob Brekelmans Vaden Masrani Frank D. Wood Greg Ver Steeg Aram Galstyan 6 16 0 01 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 16,947 0 19 Jun 2020
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Oindrila Chatterjee S. Chakrabartty 19 7 0 15 Aug 2019
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012