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Bounds all around: training energy-based models with bidirectional bounds

1 November 2021

Papers citing "Bounds all around: training energy-based models with bidirectional bounds"

28 / 28 papers shown

Title
A deep learning theory for neural networks grounded in physics B. Scellier PINN AI4CE 37 30 0 18 Mar 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 65 73 0 16 Feb 2021
The Geometry of Deep Generative Image Models and its Applications Binxu Wang Carlos R. Ponce GAN 44 46 0 15 Jan 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler Jianwen Xie Zilong Zheng Ping Li 61 53 0 29 Dec 2020
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 77 72 0 08 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 645 18,096 0 19 Jun 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 65 114 0 12 Mar 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 57 39 0 20 Feb 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 192 722 0 07 Jun 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 44 113 0 24 Jan 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 67 68 0 28 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,483 0 11 Dec 2018
Uncertainty in the Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon 49 100 0 02 Jul 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 63 92 0 07 Jun 2018
Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi Olivier Bachem Mario Lucic Olivier Bousquet Sylvain Gelly EGVM 78 577 0 31 May 2018
Learning Descriptor Networks for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu GAN 3DV 70 145 0 02 Apr 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,440 0 16 Feb 2018
Boltzmann machines and energy-based models Takayuki Osogami 39 15 0 20 Aug 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 116 108 0 19 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 207 9,548 0 31 Mar 2017
Calibrating Energy-based Generative Adversarial Networks Zihang Dai Amjad Almahairi Philip Bachman Eduard H. Hovy Aaron Courville GAN 53 111 0 06 Feb 2017
Generative Adversarial Networks as Variational Training of Energy Based Models Shuangfei Zhai Yu Cheng Rogerio Feris Zhongfei Zhang GAN 42 31 0 06 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 164 3,454 0 07 Oct 2016
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 55 143 0 29 Sep 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 55 136 0 10 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 261 14,012 0 19 Nov 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing Yuri Burda Roger C. Grosse Ruslan Salakhutdinov TPM 144 67 0 30 Dec 2014