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Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 815 papers shown

Title
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic SupportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Tim Reichelt C.-H. Luke Ong Tom Rainforth 195 0 0 23 Oct 2023
Generative Marginalization Models Sulin Liu Peter J. Ramadge Ryan P. Adams 174 2 0 19 Oct 2023
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Jingcheng Deng Liang Pang Huawei Shen Xueqi Cheng RALM 241 14 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 210 4 0 13 Oct 2023
PhyloGFN: Phylogenetic inference with generative flow networksInternational Conference on Learning Representations (ICLR), 2023 Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio 182 26 0 12 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual SegmentationIEEE International Conference on Computer Vision (ICCV), 2023 Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 131 53 0 12 Oct 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimizationInternational Conference on Learning Representations (ICLR), 2023 Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio 343 59 0 04 Oct 2023
Delta-AI: Local objectives for amortized inference in sparse graphical modelsInternational Conference on Learning Representations (ICLR), 2023 Jean-Pierre Falet Hae Beom Lee Nikolay Malkin Chen Sun Dragos Secrieru Thomas Jiralerspong Dinghuai Zhang Guillaume Lajoie Yoshua Bengio 279 8 0 03 Oct 2023
Improved Variational Bayesian Phylogenetic Inference using Mixtures Oskar Kviman Ricky Molén Jens Lagergren 162 6 0 02 Oct 2023
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow EstimationIEEE International Conference on Computer Vision (ICCV), 2023 Zhexiong Wan Yuxin Mao Jing Zhang Yuchao Dai 3DPC 221 29 0 26 Sep 2023
Reparameterized Variational Rejection SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 M. Jankowiak Du Phan DRL BDL 189 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 248 4 0 23 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 270 8 0 09 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Fotios Lygerakis Elmar Rueckert DRL 180 6 0 06 Sep 2023
NAS-X: Neural Adaptive Smoothing via TwistingNeural Information Processing Systems (NeurIPS), 2023 Dieterich Lawson Michael Y. Li Scott W. Linderman 196 2 0 28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Lin Geng Foo Hossein Rahmani Jing Liu 676 43 0 27 Aug 2023
Learning variational autoencoders via MCMC speed measuresStatistics and computing (Stat. Comput.), 2023 Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 134 2 0 26 Aug 2023
Deep Generative Imputation Model for Missing Not At Random DataInternational Conference on Information and Knowledge Management (CIKM), 2023 Jia-Lve Chen Yuanbo Xu Pengyang Wang Yongjian Yang SyDa 119 12 0 16 Aug 2023
Probabilistic Imputation for Time-series Classification with Missing DataInternational Conference on Machine Learning (ICML), 2023 Seunghyun Kim Hyunsung Kim Eunggu Yun Hwa-Kyung Lee Jaehun Lee Juho Lee AI4TS 239 32 0 13 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis Conor Hassan Roberto Salomone Kerrie Mengersen 265 11 0 28 Jul 2023
Symmetric Equilibrium Learning of VAEsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 B. Flach D. Schlesinger Alexander Shekhovtsov DRL 140 3 0 19 Jul 2023
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesNeural Information Processing Systems (NeurIPS), 2023 Takahiro Mimori Michiaki Hamada 195 14 0 07 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo DiffusionsInternational Conference on Learning Representations (ICLR), 2023 Francisco Vargas Shreyas Padhy Denis Blessing Nikolas Nusken DiffM OT 709 12 0 03 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal ModelsInternational Conference on Machine Learning (ICML), 2023 Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 183 58 0 27 Jun 2023
Adaptive Annealed Importance Sampling with Constant Rate ProgressInternational Conference on Machine Learning (ICML), 2023 Shirin Goshtasbpour Victor Cohen Fernando Perez-Cruz 196 9 0 27 Jun 2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of AnatomyInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Haoran Dou Nishant Ravikumar Alejandro F. Frangi 161 3 0 26 Jun 2023
Identifiable causal inference with noisy treatment and no side information Antti Pöllänen Pekka Marttinen CML 105 2 0 18 Jun 2023
A Heavy-Tailed Algebra for Probabilistic ProgrammingNeural Information Processing Systems (NeurIPS), 2023 Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 209 3 0 15 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer GeneratorComputer Vision and Pattern Recognition (CVPR), 2023 Jiali Cui Ying Nian Wu Tian Han 242 11 0 10 Jun 2023
Unscented AutoencoderInternational Conference on Machine Learning (ICML), 2023 Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 169 2 0 08 Jun 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational AutoencodersInternational Conference on Learning Representations (ICLR), 2023 Hien Dang Tho Tran T. Nguyen Nhat Ho CML DRL 246 8 0 08 Jun 2023
Coupled Variational AutoencoderInternational Conference on Machine Learning (ICML), 2023 Xiaoran Hao Patrick Shafto BDL DRL 185 3 0 05 Jun 2023
Lifting Architectural Constraints of Injective FlowsInternational Conference on Learning Representations (ICLR), 2023 Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 341 14 0 02 Jun 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 368 4 0 30 May 2023
Autoencoding Conditional Neural Processes for Representation LearningInternational Conference on Machine Learning (ICML), 2023 Victor Prokhorov Ivan Titov N. Siddharth BDL 253 0 0 29 May 2023
Deep Stochastic Processes via Functional Markov Transition OperatorsNeural Information Processing Systems (NeurIPS), 2023 Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 197 5 0 24 May 2023
Amortized Variational Inference with Coverage GuaranteesInternational Conference on Machine Learning (ICML), 2023 Yash Patel Declan McNamara J. Loper Jeffrey Regier Ambuj Tewari BDL 278 0 0 23 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 140 4 0 19 May 2023
Massively Parallel Reweighted Wake-SleepConference on Uncertainty in Artificial Intelligence (UAI), 2023 Thomas Heap Gavin Leech Laurence Aitchison BDL 130 2 0 18 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution ShiftInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Yichen Zhu Jian Yuan Ziwei He Tao Lin Haiming Jin Xinbing Wang Cheng Zhou OOD 98 1 0 18 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variableInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Hyeok Kyu Kwon Minwoo Chae DRL 259 3 0 11 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsInternational Conference on Machine Learning (ICML), 2023 Kaiwen Zheng Cheng Lu Jianfei Chen Jun Zhu DiffM 274 50 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 115 9 0 02 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder NetworkInternational Conference on Machine Learning (ICML), 2023 Yuri Kinoshita Kenta Oono Kenji Fukumizu Yuichi Yoshida S. Maeda DRL BDL 191 4 0 25 Apr 2023
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual EdgesScandinavian Journal of Statistics (Scand. J. Stat.), 2023 Rémi Boutin Pierre Latouche C. Bouveyron 153 2 0 14 Apr 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 179 6 0 13 Apr 2023
Autoregressive Conditional Neural ProcessesInternational Conference on Learning Representations (ICLR), 2023 W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 198 31 0 25 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 171 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 138 6 0 22 Mar 2023
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional DiffusionKnowledge-Based Systems (KBS), 2023 Yao Liu Zesheng Ye Rui Wang Binghao Li Quan Z. Sheng Weitong Chen 256 18 0 15 Mar 2023