Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

22 April 2019

Erik Nijkamp

Papers citing "Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model"

21 / 21 papers shown

Title
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Xiaodi Li Dingcheng Li Rujun Gao Mahmoud Zamani Latifur Khan CLL KELM 42 0 0 09 Jan 2025
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics Omar Chehab Anna Korba Austin Stromme Adrien Vacher 23 2 0 13 Oct 2024
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 39 1 0 05 Sep 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 14 2 0 30 Jun 2024
Cascade of phase transitions in the training of Energy-based models Dimitrios Bachtis Giulio Biroli A. Decelle Beatriz Seoane 34 3 0 23 May 2024
Generative modeling through internal high-dimensional chaotic activity Samantha J. Fournier Pierfrancesco Urbani 27 1 0 17 May 2024
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 21 7 0 24 Nov 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 19 0 0 03 Apr 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners Zhixuan Liang Yao Mu Mingyu Ding Fei Ni M. Tomizuka Ping Luo 45 98 0 03 Feb 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 14 10 0 23 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 15 9 0 27 Dec 2022
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 13 356 0 28 Nov 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu J. Li Ping Li 8 50 0 13 May 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 32 90 0 27 Dec 2021
Path Integral Sampler: a stochastic control approach for sampling Qinsheng Zhang Yongxin Chen DiffM 13 102 0 30 Nov 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 17 16 0 04 Aug 2021
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data Jacob Kelly R. Zemel Will Grathwohl 26 2 0 19 Jul 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 9 501 0 08 Apr 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 19 475 0 08 Mar 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 40 16,587 0 19 Jun 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 17 150 0 29 Mar 2019