Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies Takahiro Mimori Michiaki Hamada 26 10 0 07 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 58 3 0 03 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 40 36 0 27 Jun 2023
Adaptive Annealed Importance Sampling with Constant Rate Progress Shirin Goshtasbpour Victor Cohen Fernando Perez-Cruz 32 7 0 27 Jun 2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy Haoran Dou Nishant Ravikumar Alejandro F. Frangi 31 3 0 26 Jun 2023
Identifiable causal inference with noisy treatment and no side information Antti Pöllänen Pekka Marttinen CML 29 2 0 18 Jun 2023
A Heavy-Tailed Algebra for Probabilistic Programming Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 23 3 0 15 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 25 8 0 10 Jun 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 21 2 0 08 Jun 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders Hien Dang Tho Tran T. Nguyen Nhat Ho CML DRL 23 3 0 08 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 37 4 0 05 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 36 8 0 02 Jun 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 31 3 0 30 May 2023
Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov Ivan Titov N. Siddharth BDL 20 0 0 29 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 38 4 0 24 May 2023
Amortized Variational Inference with Coverage Guarantees Yash P. Patel Declan McNamara J. Loper Jeffrey Regier Ambuj Tewari BDL 33 4 0 23 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 32 1 0 19 May 2023
Massively Parallel Reweighted Wake-Sleep Thomas Heap Gavin Leech Laurence Aitchison BDL 24 2 0 18 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift Yichen Zhu Jian Yuan Bo Jiang Tao R. Lin Haiming Jin Xinbing Wang Cheng Zhou OOD 13 1 0 18 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable Hyeok Kyu Kwon Minwoo Chae DRL 23 3 0 11 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 31 26 0 06 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 38 6 0 02 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network Yuri Kinoshita Kenta Oono Kenji Fukumizu Yuichi Yoshida S. Maeda DRL BDL 20 2 0 25 Apr 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 15 4 0 13 Apr 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 36 21 0 25 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 26 1 0 24 Mar 2023
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model T. Templin Milad Memarzadeh W. Vinci P. A. Lott A. A. Asanjan Anthony Alexiades Armenakas E. Rieffel DRL 24 5 0 22 Mar 2023
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion Yao Liu Zesheng Ye Rui Wang Binghao Li Quan Z. Sheng L. Yao 18 8 0 15 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 78 0 28 Feb 2023
U-Statistics for Importance-Weighted Variational Inference Javier Burroni Kenta Takatsu Justin Domke Daniel Sheldon 18 1 0 27 Feb 2023
A Targeted Accuracy Diagnostic for Variational Approximations Yu Wang Mikolaj Kasprzak Jonathan H. Huggins DRL 25 1 0 24 Feb 2023
Causally Disentangled Generative Variational AutoEncoder SeungHwan An Kyungwoo Song Jong-June Jeon OOD CoGe DRL CML 24 4 0 23 Feb 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation SeungHwan An Jong-June Jeon DRL 35 8 0 22 Feb 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 36 19 0 20 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 23 1 0 20 Feb 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference Xiongjie Chen Yunpeng Li 33 14 0 19 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 20 1 0 18 Feb 2023
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications Nicholas E. Silionis Theodora Liangou K. Anyfantis AI4CE 26 0 0 14 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model Xingwei Tan Gabriele Pergola Yulan He AI4TS 51 7 0 10 Feb 2023
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong A. Bose I. Gemp Chongli Qin Yoram Bachrach Gauthier Gidel EGVM 34 5 0 09 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable Models Conor Hassan Roberto Salomone Kerrie Mengersen BDL FedML 21 4 0 07 Feb 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 376 19 0 06 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 20 26 0 01 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 30 13 0 21 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 36 8 0 19 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 28 1 0 11 Jan 2023
Posterior Collapse and Latent Variable Non-identifiability Yixin Wang David M. Blei John P. Cunningham CML DRL 85 73 0 02 Jan 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 37 10 0 01 Jan 2023