Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Enhancing variational generation through self-decomposition Andrea Asperti Laura Bugo Daniele Filippini DRL 56 2 0 06 Feb 2022
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
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport Liyi Zhang David M. Blei C. A. Naesseth 30 6 0 03 Feb 2022
Variational Neural Cellular Automata Rasmus Berg Palm Miguel González Duque Shyam Sudhakaran S. Risi BDL 47 22 0 28 Jan 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 29 4 0 26 Jan 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 57 338 0 17 Jan 2022
Reconstruction of Incomplete Wildfire Data using Deep Generative Models T. Ivek Domagoj Vlah SyDa 6 7 0 16 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 33 114 0 02 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 35 13 0 22 Dec 2021
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 54 3 0 20 Dec 2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 27 10 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 30 231 0 14 Dec 2021
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement Yi Li Yang Sun K. Horoshenkov S. M. Naqvi 19 23 0 09 Dec 2021
Estimating the Value-at-Risk by Temporal VAE Robert Sicks S. Grimm R. Korn Ivo Richert 18 6 0 03 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 13 1 0 30 Nov 2021
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 20 9 0 25 Nov 2021
Towards Empirical Sandwich Bounds on the Rate-Distortion Function Yibo Yang Stephan Mandt 30 24 0 23 Nov 2021
Exploring Story Generation with Multi-task Objectives in Variational Autoencoders Zhuohan Xie Trevor Cohn Jey Han Lau DRL 17 6 0 15 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation Shivani Malhotra Vinay Kumar A. K. Agarwal DRL 11 0 0 10 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 19 6 0 04 Nov 2021
Pseudo-Spherical Contrastive Divergence Lantao Yu Jiaming Song Yang Song Stefano Ermon 33 7 0 01 Nov 2021
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff Anna Korba Franccois Portier 31 12 0 29 Oct 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 27 9 0 28 Oct 2021
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization Alban Petit Caio Corro DRL 21 3 0 28 Oct 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 39 14 0 27 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 43 71 0 27 Oct 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator Alek Dimitriev Mingyuan Zhou 16 7 0 26 Oct 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness Dazhong Shen Chuan Qin Chao Wang Hengshu Zhu Enhong Chen Hui Xiong UQCV 20 19 0 24 Oct 2021
PriorVAE: Encoding spatial priors with VAEs for small-area estimation Elizaveta Semenova Yidan Xu A. Howes T. Rashid Samir Bhatt Swapnil Mishra Seth Flaxman 17 11 0 20 Oct 2021
Guiding Visual Question Generation Nihir Vedd Zixu Wang Marek Rei Yishu Miao Lucia Specia 89 23 0 15 Oct 2021
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units K. Young 31 0 0 14 Oct 2021
The Neglected Sibling: Isotropic Gaussian Posterior for VAE Lan Zhang Wray Buntine Ehsan Shareghi DRL 18 0 0 14 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network Yichen Zhu Bo Jiang Haiming Jin Mengtian Zhang Feng Gao Jianqiang Huang Tao Lin Xinbing Wang GNN AI4TS 40 5 0 05 Oct 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 33 9 0 30 Sep 2021
Unaligned Image-to-Image Translation by Learning to Reweight Shaoan Xie Biwei Huang Yanwu Xu Kun Zhang EgoV 40 22 0 24 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis Christopher J. Urban Daniel J. Bauer CML 23 1 0 20 Sep 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 34 14 0 20 Sep 2021
A Conditional Generative Matching Model for Multi-lingual Reply Suggestion Budhaditya Deb Guoqing Zheng Milad Shokouhi Ahmed Hassan Awadallah 36 1 0 15 Sep 2021
You should evaluate your language model on marginal likelihood over tokenisations Kris Cao Laura Rimell 39 23 0 06 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification Bo Pang Ying Nian Wu 24 18 0 26 Aug 2021
Robust outlier detection by de-biasing VAE likelihoods Kushal Chauhan Barath Mohan Umapathi Pradeep Shenoy Manish Gupta D. Sridharan DRL 45 10 0 19 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 35 3 0 10 Aug 2021
Finetuning Pretrained Transformers into Variational Autoencoders Seongmin Park Jihwa Lee 25 20 0 05 Aug 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 27 39 0 21 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE Qingzhong Ai Lirong He Shiyu Liu Zenglin Xu BDL 19 2 0 20 Jul 2021
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders Divyansh Pareek Andrej Risteski DRL 13 0 0 09 Jul 2021
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 33 34 0 08 Jul 2021
Parameterization of Forced Isotropic Turbulent Flow using Autoencoders and Generative Adversarial Networks Kanishk Tanishk Nandal Prince Tyagi R. Singh GAN OOD AI4CE 18 0 0 08 Jul 2021