Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 34 1 0 10 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families Vaidotas Šimkus Michael U. Gutmann 48 2 0 05 Mar 2024
Certain and Approximately Certain Models for Statistical Learning Cheng Zhen Nischal Aryal Arash Termehchy Alireza Aghasi Amandeep Singh Chabada 21 1 0 27 Feb 2024
Differentiable Particle Filtering using Optimal Placement Resampling Domonkos Csuzdi Olivér Törő Tamás Bécsi 32 0 0 26 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity Jiahe Lin Huitian Lei G. Michailidis CML 31 0 0 25 Feb 2024
Nearest Neighbour Score Estimators for Diffusion Generative Models Matthew Niedoba Dylan Green Saeid Naderiparizi Vasileios Lioutas J. Lavington ... Ke Zhang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank Wood DiffM 35 0 0 12 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 71 18 0 07 Feb 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 34 1 0 06 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation Sobihan Surendran Antoine Godichon-Baggioni Adeline Fermanian Sylvain Le Corff 45 1 0 05 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 30 0 0 11 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 37 7 0 28 Dec 2023
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment Rui Zhao Liang Zhang Biao Fu Cong Hu Jinsong Su Yidong Chen SLR 45 12 0 25 Dec 2023
Structure-Aware Path Inference for Neural Finite State Transducers Weiting Tan Chu-cheng Lin Jason Eisner 23 0 0 21 Dec 2023
Online Variational Sequential Monte Carlo Alessandro Mastrototaro Jimmy Olsson BDL OffRL 30 3 0 19 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 35 16 0 15 Dec 2023
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 48 1 0 29 Nov 2023
On the Impact of Sampling on Deep Sequential State Estimation Helena Calatrava R. Borsoi Tales Imbiriba Pau Closas BDL 15 0 0 28 Nov 2023
Training Chain-of-Thought via Latent-Variable Inference Du Phan Matthew D. Hoffman David Dohan Sholto Douglas Tuan Anh Le Aaron T Parisi Pavel Sountsov Charles Sutton Sharad Vikram Rif A. Saurous BDL ReLM LRM 33 23 0 28 Nov 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning Changyu Chen Ramesha Karunasena Thanh Hong Nguyen Arunesh Sinha Pradeep Varakantham 28 9 0 26 Nov 2023
Touring sampling with pushforward maps Vivien A. Cabannes Charles Arnal 26 0 0 23 Nov 2023
Generative Machine Learning for Multivariate Equity Returns Ruslan Tepelyan Achintya Gopal AIFin SyDa 37 4 0 21 Nov 2023
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder Yu-Eop Kang Dawoon Lee K. Yee 37 0 0 18 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder Michael D. Bereket Theofanis Karaletsos DRL 30 18 0 05 Nov 2023
Forward $χ^2$ Divergence Based Variational Importance Sampling Chengrui Li Yule Wang Weihan Li Anqi Wu BDL 27 2 0 04 Nov 2023
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows Mingxuan Yi Song Liu DRL 33 8 0 31 Oct 2023
Using Autodiff to Estimate Posterior Moments, Marginals and Samples Sam Bowyer Thomas Heap Laurence Aitchison 43 1 0 26 Oct 2023
Adaptive importance sampling for heavy-tailed distributions via $α$ -divergence minimization Thomas Guilmeau Nicola Branchini Émilie Chouzenoux Victor Elvira 44 2 0 25 Oct 2023
Posterior Consistency for Missing Data in Variational Autoencoders Timur Sudak Sebastian Tschiatschek 38 3 0 25 Oct 2023
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support Tim Reichelt C.-H. Luke Ong Tom Rainforth 30 0 0 23 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 39 1 0 19 Oct 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling Jingcheng Deng Liang Pang Huawei Shen Xueqi Cheng RALM 36 10 0 16 Oct 2023
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling J. Demange-Chryst François Bachoc Jérome Morio Timothé Krauth 27 2 0 13 Oct 2023
PhyloGFN: Phylogenetic inference with generative flow networks Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio 32 16 0 12 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 40 34 0 12 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 39 41 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical models Jean-Pierre Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 51 6 0 03 Oct 2023
Improved Variational Bayesian Phylogenetic Inference using Mixtures Oskar Kviman Ricky Molén Jens Lagergren 20 5 0 02 Oct 2023
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation Zhexiong Wan Yuxin Mao Jing Zhang Yuchao Dai 3DPC 38 22 0 26 Sep 2023
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 24 1 0 26 Sep 2023
C $^2$ VAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior Zhangkai Wu LongBing Cao CoGe CML DRL 18 1 0 23 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 41 6 0 09 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Fotios Lygerakis Elmar Rueckert DRL 19 4 0 06 Sep 2023
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson Michael Y. Li Scott W. Linderman 20 1 0 28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 78 31 0 27 Aug 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 29 2 0 26 Aug 2023
Deep Generative Imputation Model for Missing Not At Random Data Jia-Lve Chen Yuanbo Xu Pengyang Wang Yongjian Yang SyDa 27 8 0 16 Aug 2023
Probabilistic Imputation for Time-series Classification with Missing Data Seunghyun Kim Hyunsung Kim Eunggu Yun Hwa-Kyung Lee Jaehun Lee Juho Lee AI4TS 41 14 0 13 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 28 6 0 28 Jul 2023
Symmetric Equilibrium Learning of VAEs B. Flach D. Schlesinger Alexander Shekhovtsov DRL 31 0 0 19 Jul 2023