v1v2v3 (latest)

Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling

26 September 2017

Ruiqi Gao

Papers citing "Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling"

50 / 54 papers shown

Title
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors Sangwon Kim Dasom Ahn B. Ko In-su Jang Kwang-Ju Kim 82 4 0 22 Sep 2024
EM Distillation for One-step Diffusion Models Sirui Xie Zhisheng Xiao Diederik P. Kingma Tingbo Hou Ying Nian Wu Kevin Patrick Murphy Tim Salimans Ben Poole Ruiqi Gao VLM DiffM 115 30 0 27 May 2024
Diffusive Gibbs Sampling Jiajun He Mingtian Zhang Brooks Paige José Miguel Hernández-Lobato David Barber 160 11 0 05 Feb 2024
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 81 0 0 19 Oct 2023
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization Frederic Koehler T. Vuong DiffM SyDa 64 6 0 03 Oct 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 140 14 0 10 Sep 2023
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation Weinan Song Y. Zhu Lei He Yingnian Wu Jianwen Xie 69 1 0 26 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 98 4 0 13 Jun 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 77 3 0 19 May 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 82 8 0 04 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 56 0 0 03 Apr 2023
Multilevel CNNs for Parametric PDEs Cosmas Heiß Ingo Gühring Martin Eigel AI4CE 73 8 0 01 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang Hyewon Yoo Eunhee Kang Sehwan Ki Hyong-Euk Lee Bohyung Han GAN 72 3 0 28 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 186 170 0 21 Mar 2023
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu 405 12 0 29 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu Haoran Liu Shuiwang Ji 71 5 0 11 Oct 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing Khoa D. Doan Jianwen Xie Y. Zhu Yang Zhao Ping Li GAN 68 2 0 09 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 485 1,420 0 02 Sep 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 28 0 0 24 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Jilong Li Ping Li 88 50 0 13 May 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs Jie Ren Mingjie Li Meng Zhou Shih-Han Chan Quanshi Zhang 49 3 0 04 May 2022
An Energy-Based Prior for Generative Saliency Jing Zhang Jianwen Xie Nick Barnes Ping Li 104 3 0 19 Apr 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 99 93 0 27 Dec 2021
Learning Proposals for Practical Energy-Based Regression L. Kumar Martin Danelljan Thomas B. Schon 66 4 0 22 Oct 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Siyuan Huang Yichen Xie Song-Chun Zhu Yixin Zhu 3DPC 101 211 0 01 Sep 2021
Energy-Based Generative Cooperative Saliency Prediction Jing Zhang Jianwen Xie Zilong Zheng Nick Barnes 96 12 0 25 Jun 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 101 475 0 15 Apr 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation Jianwen Xie Zilong Zheng Xiaolin Fang Song-Chun Zhu Ying Nian Wu 60 14 0 07 Mar 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler Jianwen Xie Zilong Zheng Ping Li 103 53 0 29 Dec 2020
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu 3DV 73 50 0 25 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 97 128 0 15 Dec 2020
Accurate 3D Object Detection using Energy-Based Models Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon 3DPC 88 10 0 08 Dec 2020
Contrastive Divergence Learning is a Time Reversal Adversarial Game Omer Yair T. Michaeli GAN 79 6 0 06 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 137 144 0 02 Dec 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 971 18,496 0 19 Jun 2020
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC Erik Nijkamp Ruiqi Gao Pavel Sountsov Srinivas Vasudevan Bo Pang Song-Chun Zhu Ying Nian Wu BDL 94 21 0 12 Jun 2020
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models Mitch Hill Jonathan Mitchell Song-Chun Zhu AAML 92 71 0 27 May 2020
How to Train Your Energy-Based Model for Regression Fredrik K. Gustafsson Martin Danelljan Radu Timofte Thomas B. Schon 145 42 0 04 May 2020
Residual Energy-Based Models for Text Generation Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 97 133 0 22 Apr 2020
Compositional Visual Generation and Inference with Energy Based Models Yilun Du Shuang Li Igor Mordatch CoGe 82 23 0 13 Apr 2020
Residual Energy-Based Models for Text A. Bakhtin Yuntian Deng Sam Gross Myle Ott MarcÁurelio Ranzato Arthur Szlam 73 13 0 06 Apr 2020
Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie Yifei Xu Zilong Zheng Song-Chun Zhu Ying Nian Wu 3DPC 141 82 0 02 Apr 2020
MCFlow: Monte Carlo Flow Models for Data Imputation Trevor W. Richardson Wencheng Wu Lei Lin Beilei Xu Edgar A. Bernal OOD 80 48 0 27 Mar 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 81 114 0 12 Mar 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp Bo Pang Tian Han Linqi Zhou Song-Chun Zhu Ying Nian Wu BDL DRL 81 2 0 04 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 101 115 0 02 Dec 2019
Representation Learning: A Statistical Perspective Jianwen Xie Ruiqi Gao Erik Nijkamp Song-Chun Zhu Ying Nian Wu SSL 49 12 0 26 Nov 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 90 31 0 31 Oct 2019
A Near-Optimal Gradient Flow for Learning Neural Energy-Based Models Yang Wu Pengxu Wei Liang Lin 89 0 0 31 Oct 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 69 52 0 26 Sep 2019