Calibrating Energy-based Generative Adversarial Networks

6 February 2017

Aaron Courville

Papers citing "Calibrating Energy-based Generative Adversarial Networks"

32 / 32 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 39 3 0 30 Jun 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 46 3 0 02 May 2024
Learning Representation from Neural Fisher Kernel with Low-rank Approximation Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 36 3 0 04 Feb 2022
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
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP Lifu Tu BDL 35 0 0 27 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 42 16 0 04 Aug 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 40 312 0 08 Jun 2021
Set Distribution Networks: a Generative Model for Sets of Images Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Carlos Guestrin J. Susskind GAN 32 2 0 18 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 287 0 30 Apr 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30% Less High-quality Data for Training Chunpeng Wu W. Wen Yiran Chen H. Li GAN 30 2 0 25 Sep 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 16 42 0 01 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 29 209 0 22 Apr 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 21 151 0 29 Mar 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 19 112 0 24 Jan 2019
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning Arnab Kumar Mondal Jose Dolz Christian Desrosiers GAN MedIm 43 118 0 29 Oct 2018
Learning Discriminators as Energy Networks in Adversarial Learning Pingbo Pan Yan Yan Tianbao Yang Yi Yang 19 1 0 02 Oct 2018
Beyond Local Nash Equilibria for Adversarial Networks F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol R. Groß GAN 26 43 0 18 Jun 2018
Whitening and Coloring batch transform for GANs Aliaksandr Siarohin E. Sangineto N. Sebe 22 49 0 01 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 14 30 0 01 Jun 2018
Robust GANs against Dishonest Adversaries Zhi Xu Chengtao Li Stefanie Jegelka AAML 34 3 0 27 Feb 2018
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks Alexander Sage E. Agustsson Radu Timofte Luc Van Gool GAN 39 62 0 12 Dec 2017
Wasserstein Divergence for GANs Jiqing Wu Zhiwu Huang Janine Thoma Dinesh Acharya Luc Van Gool 39 138 0 04 Dec 2017
GANGs: Generative Adversarial Network Games F. Oliehoek Rahul Savani Jose Gallego-Posada Elise van der Pol E. Jong R. Groß GAN 25 28 0 02 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 76 7,290 0 27 Oct 2017
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling Ruiqi Gao Yang Lu Junpei Zhou Song-Chun Zhu Ying Nian Wu 39 78 0 26 Sep 2017
Boltzmann machines and energy-based models Takayuki Osogami 30 14 0 20 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative Zhiming Zhou Weinan Zhang Jun Wang 32 19 0 05 Aug 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 22 481 0 27 May 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 22 132 0 26 May 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016