ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.11166
  4. Cited By
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold
  Hypothesis

Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis

19 June 2020
Adam Block
Youssef Mroueh
Alexander Rakhlin
Jerret Ross
ArXivPDFHTML

Papers citing "Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis"

4 / 4 papers shown
Title
Creating High Resolution Images with a Latent Adversarial Generator
Creating High Resolution Images with a Latent Adversarial Generator
David Berthelot
P. Milanfar
Ian Goodfellow
GAN
32
18
0
04 Mar 2020
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal
  Distributions using Simulated Tempering Langevin Monte Carlo
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Rong Ge
Holden Lee
Andrej Risteski
59
54
0
07 Oct 2017
A-NICE-MC: Adversarial Training for MCMC
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song
Shengjia Zhao
Stefano Ermon
BDL
OOD
46
109
0
23 Jun 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a
  nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
34
518
0
13 Feb 2017
1