Maximum Entropy Generators for Energy-Based Models

24 January 2019

Aaron Courville

Papers citing "Maximum Entropy Generators for Energy-Based Models"

31 / 31 papers shown

Title
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 37 3 0 30 Jun 2024
Neural Sampling in Hierarchical Exponential-family Energy-based Models Xingsi Dong Si Wu 35 2 0 12 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 32 3 0 08 Apr 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
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 24 7 0 23 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Xiaodan Xing Huanjun Wu Lichao Wang Iain Stenson M. Yong Javier Del Ser Simon Walsh Guang Yang 32 7 0 17 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,304 0 02 Sep 2022
Learning Implicit Priors for Motion Optimization Julen Urain An T. Le Alexander Lambert Georgia Chalvatzaki Byron Boots Jan Peters 28 24 0 11 Apr 2022
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 41 13 0 03 Nov 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 24 15 0 01 Nov 2021
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 31 13 0 07 Sep 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu Jiacheng Ma Jiacheng Sun Zewei Chen Rongxin Jiang Zhenguo Li AAML 18 21 0 20 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 40 16 0 04 Aug 2021
Deep Consensus Learning Wei Sun Tianfu Wu 32 2 0 15 Mar 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 41 481 0 08 Mar 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 241 0 09 Jan 2021
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 33 9 0 11 Dec 2020
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 41 138 0 02 Dec 2020
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 29 125 0 11 Sep 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 31 53 0 07 Jul 2020
Self-Supervised GAN Compression Chong Yu Jeff Pool 9 9 0 03 Jul 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 16 44 0 08 Jun 2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator Yuxuan Song Qiwei Ye Minkai Xu Tie-Yan Liu 25 8 0 05 Apr 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 19 2 0 04 Dec 2019
Small-GAN: Speeding Up GAN Training Using Core-sets Samarth Sinha Hang Zhang Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena GAN 38 72 0 29 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 21 61 0 09 Oct 2019
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 19 151 0 29 Mar 2019
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 251 2,550 0 25 Jan 2016