Monte Carlo Variational Auto-Encoders

Monte Carlo Variational Auto-Encoders

30 June 2021

Nikita Kotelevskii

Papers citing "Monte Carlo Variational Auto-Encoders"

12 / 12 papers shown

Title
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 33 2 0 13 Oct 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 30 8 0 03 May 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 32 41 0 09 Feb 2024
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 11 1 0 26 Sep 2023
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour F. Pérez-Cruz 19 1 0 27 Sep 2022
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 28 43 0 16 Aug 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 55 8 0 16 May 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 14 14 0 11 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 16 5 0 08 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 63 17 0 22 Feb 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 8 13 0 22 Dec 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 22 22 0 24 Nov 2021