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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
Tighter Variational Bounds are Not Necessarily Better. A Research Report on Implementation, Ablation Study, and Extensions Amine MĆharrak Vít Ruzicka Sangyun Shin M. Vankadari DRL 205 0 0 23 Sep 2022
Variational Open-Domain Question AnsweringInternational Conference on Machine Learning (ICML), 2022 Valentin Liévin Andreas Geert Motzfeldt Ida Riis Jensen Ole Winther OOD BDL 162 11 0 23 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image FusionEuropean Conference on Computer Vision (ECCV), 2022 Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 119 9 0 22 Sep 2022
Amortized Variational Inference: A Systematic ReviewJournal of Artificial Intelligence Research (JAIR), 2022 Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 235 24 0 22 Sep 2022
Continuous Mixtures of Tractable Probabilistic ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 222 23 0 21 Sep 2022
Bit Allocation using OptimizationInternational Conference on Machine Learning (ICML), 2022 Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 211 21 0 20 Sep 2022
A Geometric Perspective on Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec S. Allassonnière DRL 189 29 0 15 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic modelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 210 6 0 13 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 222 26 0 06 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical DataNeural Information Processing Systems (NeurIPS), 2022 Mao Ye Lemeng Wu Qiang Liu DiffM 328 19 0 02 Sep 2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations Ruizhi Deng Greg Mori Andreas M. Lehrmann BDL 118 1 0 01 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 184 97 0 31 Aug 2022
Score-Based Diffusion meets Annealed Importance SamplingNeural Information Processing Systems (NeurIPS), 2022 Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 251 56 0 16 Aug 2022
Continual Variational Autoencoder Learning via Online Cooperative MemorizationEuropean Conference on Computer Vision (ECCV), 2022 Fei Ye A. Bors CLL 159 21 0 20 Jul 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior CollapseConference on Uncertainty in Artificial Intelligence (UAI), 2022 Sachit Menon David M. Blei Carl Vondrick DRL 257 7 0 19 Jul 2022
Deeply-Learned Generalized Linear Models with Missing DataJournal of Computational And Graphical Statistics (JCGS), 2022 David K. Lim N. Rashid Junier B Oliva J. Ibrahim AI4CE 70 1 0 18 Jul 2022
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 288 27 0 17 Jul 2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs Simao Eduardo Kai Xu A. Nazábal Charles Sutton DRL 166 0 0 17 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 136 17 0 14 Jul 2022
BR-SNIS: Bias Reduced Self-Normalized Importance SamplingNeural Information Processing Systems (NeurIPS), 2022 Gabriel Victorino Cardoso S. Samsonov Achille Thin Eric Moulines Jimmy Olsson 168 13 0 13 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 206 23 0 13 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 149 104 0 05 Jul 2022
A Study on the Evaluation of Generative Models Eyal Betzalel Coby Penso Aviv Navon Ethan Fetaya EGVM 177 56 0 22 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 120 2 0 20 Jun 2022
Bounding Evidence and Estimating Log-Likelihood in VAEInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Lukasz Struski Marcin Mazur Pawel Batorski Przemysław Spurek Jacek Tabor 232 4 0 19 Jun 2022
Path-Gradient Estimators for Continuous Normalizing FlowsInternational Conference on Machine Learning (ICML), 2022 Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 139 14 0 17 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift?International Conference on Learning Representations (ICLR), 2022 Yuge Shi Imant Daunhawer Julia E. Vogt Juil Sock Amartya Sanyal OOD 310 30 0 17 Jun 2022
Classification of datasets with imputed missing values: does imputation quality matter?Communications Medicine (CM), 2022 Tolou Shadbahr M. Roberts Jan Stanczuk J. Gilbey P. Teare ... T. Mirtti A. Rannikko J. Aston Jing Tang Carola-Bibiane Schönlieb 232 86 0 16 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use CaseNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec Louis J. Vincent S. Allassonnière DRL 174 35 0 16 Jun 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model SelectionInternational Conference on Machine Learning (ICML), 2022 Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 117 106 0 15 Jun 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 382 17 0 13 Jun 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 166 12 0 13 Jun 2022
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs Nutan Chen Patrick van der Smagt Botond Cseke CLL 107 2 0 13 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text ModelingInternational Conference on Machine Learning (ICML), 2022 Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 211 93 0 13 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial OptimizationInternational Conference on Machine Learning (ICML), 2022 Adrián Javaloy Maryam Meghdadi Isabel Valera 155 38 0 09 Jun 2022
Recent Advances for Quantum Neural Networks in Generative LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 239 111 0 07 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative ModelsNeural Information Processing Systems (NeurIPS), 2022 Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 172 9 0 03 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 212 6 0 01 Jun 2022
Easy Variational Inference for Categorical Models via an Independent Binary ApproximationInternational Conference on Machine Learning (ICML), 2022 M. Wojnowicz Shuchin Aeron Preetish Rath M. C. Hughes 167 2 0 31 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2022 Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 588 59 0 27 May 2022
Conditional set generation using Seq2seq modelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Aman Madaan Dheeraj Rajagopal Niket Tandon Yiming Yang Antoine Bosselut 123 10 0 25 May 2022
Generalization Gap in Amortized InferenceNeural Information Processing Systems (NeurIPS), 2022 Mingtian Zhang Peter Hayes David Barber BDL CML DRL 253 14 0 23 May 2022
Deterministic training of generative autoencoders using invertible layersInternational Conference on Learning Representations (ICLR), 2022 Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 184 3 0 19 May 2022
Importance Weighted Structure Learning for Scene Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Daqing Liu M. Bober J. Kittler 274 6 0 14 May 2022
Variational Sparse Coding with Learned ThresholdingInternational Conference on Machine Learning (ICML), 2022 Kion Fallah Christopher Rozell DRL 178 7 0 07 May 2022
Inducing and Using Alignments for Transition-based AMR ParsingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 137 28 0 03 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational AutoencoderThe Physics of Fluids (Phys. Fluids), 2022 Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 122 30 0 02 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 91 0 0 23 Apr 2022
Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders Ivo Richert R. Buch 177 1 0 21 Apr 2022
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 159 9 0 20 Apr 2022