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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
Modern Bayesian Experimental DesignStatistical Science (Statist. Sci.), 2023 Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 281 147 0 28 Feb 2023
U-Statistics for Importance-Weighted Variational Inference Javier Burroni Kenta Takatsu Justin Domke Daniel Sheldon 132 1 0 27 Feb 2023
A Targeted Accuracy Diagnostic for Variational ApproximationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Yu Wang Mikolaj Kasprzak Jonathan H. Huggins DRL 126 2 0 24 Feb 2023
Causally Disentangled Generative Variational AutoEncoderEuropean Conference on Artificial Intelligence (ECAI), 2023 SeungHwan An Kyungwoo Song Jong-June Jeon OOD CoGe DRL CML 165 7 0 23 Feb 2023
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data GenerationNeural Information Processing Systems (NeurIPS), 2023 SeungHwan An Jong-June Jeon DRL 445 12 0 22 Feb 2023
Transformed Distribution Matching for Missing Value ImputationInternational Conference on Machine Learning (ICML), 2023 He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 187 32 0 20 Feb 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 301 1 0 20 Feb 2023
An overview of differentiable particle filters for data-adaptive sequential Bayesian inferenceFoundations of Data Science (FDS), 2023 Xiongjie Chen Yunpeng Li 209 27 0 19 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones J. D. L. Torre DRL 131 2 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 164 5 0 14 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational ModelConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 Xingwei Tan Gabriele Pergola Yulan He AI4TS 198 15 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 565 16 0 09 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable Models Conor Hassan Roberto Salomone Kerrie Mengersen BDL FedML 262 5 0 07 Feb 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous InputsInternational Conference on Machine Learning (ICML), 2023 Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 1.2K 32 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 158 3 0 02 Feb 2023
Stable Target Field for Reduced Variance Score Estimation in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2023 Yilun Xu Shangyuan Tong Tommi Jaakkola DiffM 238 40 0 01 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with MaskingThe Web Conference (WWW), 2023 Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 277 41 0 29 Jan 2023
Versatile Neural Processes for Learning Implicit Neural RepresentationsInternational Conference on Learning Representations (ICLR), 2023 Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 258 13 0 21 Jan 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEsNeural Information Processing Systems (NeurIPS), 2023 Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 168 9 0 19 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative ModelsInternational Conference on Machine Learning (ICML), 2023 Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 276 3 0 11 Jan 2023
Posterior Collapse and Latent Variable Non-identifiabilityNeural Information Processing Systems (NeurIPS), 2023 Yixin Wang David M. Blei John P. Cunningham CML DRL 317 83 0 02 Jan 2023
eVAE: Evolutionary Variational AutoencoderIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Zhangkai Wu LongBing Cao Lei Qi BDL DRL 216 16 0 01 Jan 2023
Deep Latent State Space Models for Time-Series GenerationInternational Conference on Machine Learning (ICML), 2022 Linqi Zhou Michael Poli Winnie Xu Stefano Massaroli Stefano Ermon BDL AI4TS 225 52 0 24 Dec 2022
Generalizing Multimodal Variational Methods to Sets Jinzhao Zhou Yiqun Duan Zhihong Chen Yu-Cheng Chang Chin-Teng Lin DRL 152 0 0 19 Dec 2022
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering Dexun Li BDL AI4TS 99 1 0 18 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Yuxi Feng Xiaoyuan Yi Xiting Wang L. Lakshmanan Xing Xie DiffM 213 5 0 16 Dec 2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion CurveInternational Conference on Learning Representations (ICLR), 2022 Juhan Bae Michael Ruogu Zhang Michael Ruan Eric Wang S. Hasegawa Jimmy Ba Roger C. Grosse DRL 227 23 0 07 Dec 2022
Explainability as statistical inferenceInternational Conference on Machine Learning (ICML), 2022 Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 316 4 0 06 Dec 2022
Variational Laplace AutoencodersInternational Conference on Machine Learning (ICML), 2019 Yookoon Park C. Kim Gunhee Kim BDL DRL 124 25 0 30 Nov 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete DataAsian Conference on Machine Learning (ACML), 2022 Zongyu Dai Zhiqi Bu Q. Long 200 6 0 23 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 130 1 0 21 Nov 2022
Weighted Ensemble Self-Supervised LearningInternational Conference on Learning Representations (ICLR), 2022 Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 216 19 0 18 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 153 3 0 15 Nov 2022
NEON: Enabling Efficient Support for Nonlinear Operations in Resistive RAM-based Neural Network Accelerators Aditya Manglik Minesh Patel Haiyu Mao Behzad Salami Mohammad Sadrosadati Lois Orosa O. Mutlu 188 1 0 10 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift ModelingCLEaR (CLEaR), 2022 Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 346 49 0 07 Nov 2022
Black-box Coreset Variational InferenceNeural Information Processing Systems (NeurIPS), 2022 Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 210 4 0 04 Nov 2022
Circling Back to Recurrent Models of Language Gábor Melis 221 0 0 03 Nov 2022
Improving Variational Autoencoders with Density Gap-based RegularizationNeural Information Processing Systems (NeurIPS), 2022 Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 152 9 0 01 Nov 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal TreatmentNeural Information Processing Systems (NeurIPS), 2022 Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 231 33 0 24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022 K. Pham Hung Le Man Ngo T. Tran OODD 124 1 0 23 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 280 0 0 22 Oct 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary PriorInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yohan Jung Jinkyoo Park BDL 145 1 0 22 Oct 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 163 1 0 17 Oct 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and AsymptoticsJournal of machine learning research (JMLR), 2022 Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 224 15 0 12 Oct 2022
Multi-Task Dynamical SystemsJournal of machine learning research (JMLR), 2022 Alex Bird Christopher K. I. Williams Christopher Hawthorne AI4TS 162 1 0 08 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving ExplorationInternational Conference on Learning Representations (ICLR), 2022 Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 254 12 0 03 Oct 2022
GFlowNets and variational inferenceInternational Conference on Learning Representations (ICLR), 2022 Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 430 102 0 02 Oct 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational AutoencodersInternational Conference on Machine Learning (ICML), 2022 Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 269 15 0 30 Sep 2022
Multi-Sample Training for Neural Image CompressionNeural Information Processing Systems (NeurIPS), 2022 Tongda Xu Yan Wang Dailan He Chenjian Gao Han-yi Gao Kun Liu Hongwei Qin 223 5 0 28 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 267 1 0 27 Sep 2022