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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
A Variational Approach to Bayesian Phylogenetic InferenceJournal of machine learning research (JMLR), 2022 Cheng Zhang IV FrederickA.Matsen BDL 121 22 0 16 Apr 2022
Conditional Injective Flows for Bayesian ImagingIEEE Transactions on Computational Imaging (TCI), 2022 AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 292 17 0 15 Apr 2022
A Personalized Dialogue Generator with Implicit User Persona DetectionInternational Conference on Computational Linguistics (COLING), 2022 Itsugun Cho Dongyang Wang Ryota Takahashi Hiroaki Saito 154 20 0 15 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the context datasetInternational Conference on Learning Representations (ICLR), 2022 Mingyu Kim Kyeongryeol Go Se-Young Yun 128 20 0 11 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 172 3 0 06 Apr 2022
Weakly supervised causal representation learningNeural Information Processing Systems (NeurIPS), 2022 Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 345 148 0 30 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMCNeural Information Processing Systems (NeurIPS), 2022 Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 189 14 0 18 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical ModelsInternational Conference on Machine Learning (ICML), 2022 Tomas Geffner Justin Domke 194 5 0 08 Mar 2022
Variational methods for simulation-based inferenceInternational Conference on Learning Representations (ICLR), 2022 Manuel Glöckler Michael Deistler Jakob H. Macke 523 53 0 08 Mar 2022
PAC-Bayesian Lifelong Learning For Multi-Armed BanditsData mining and knowledge discovery (DMKD), 2022 H. Flynn David Reeb M. Kandemir Jan Peters 182 8 0 07 Mar 2022
Recursive Monte Carlo and Variational Inference with Auxiliary VariablesConference on Uncertainty in Artificial Intelligence (UAI), 2022 Alexander K. Lew Marco F. Cusumano-Towner Vikash K. Mansinghka BDL 184 12 0 05 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and OutliersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 174 7 0 03 Mar 2022
Learning Conditional Variational Autoencoders with Missing CovariatesPattern Recognition (Pattern Recogn.), 2022 S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 158 22 0 02 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical testsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 202 20 0 02 Mar 2022
VaiPhy: a Variational Inference Based Algorithm for PhylogenyNeural Information Processing Systems (NeurIPS), 2022 Hazal Koptagel Oskar Kviman Harald Melin Negar Safinianaini J. Lagergren 172 23 0 01 Mar 2022
Estimators of Entropy and Information via Inference in Probabilistic ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Feras A. Saad Marco F. Cusumano-Towner Vikash K. Mansinghka 219 5 0 24 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 188 21 0 23 Feb 2022
Flat Latent Manifolds for Human-machine Co-creation of Music Nutan Chen Djalel Benbouzid Francesco Ferroni Mathis Nitschke Luciano Pinna Patrick van der Smagt 210 1 0 23 Feb 2022
Gradient Estimation with Discrete Stein OperatorsNeural Information Processing Systems (NeurIPS), 2022 Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 409 25 0 19 Feb 2022
An Introduction to Neural Data CompressionFoundations and Trends in Computer Graphics and Vision (Found. Trends Comput. Graph. Vis.), 2022 Jianlong Wu Stephan Mandt Lucas Theis 379 141 0 14 Feb 2022
Supported Policy Optimization for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022 Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 266 85 0 13 Feb 2022
Bayesian Nonparametrics for Offline Skill DiscoveryInternational Conference on Machine Learning (ICML), 2022 Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison Gabriel Loaiza-Ganem BDL OffRL 246 9 0 09 Feb 2022
Enhancing variational generation through self-decompositionIEEE Access (IEEE Access), 2022 Andrea Asperti Laura Bugo Daniele Filippini DRL 176 2 0 06 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank ApproximationInternational Conference on Learning Representations (ICLR), 2022 Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 164 5 0 04 Feb 2022
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport Liyi Zhang David M. Blei C. A. Naesseth 257 8 0 03 Feb 2022
Variational Neural Cellular AutomataInternational Conference on Learning Representations (ICLR), 2022 Rasmus Berg Palm Miguel González Duque Shyam Sudhakaran S. Risi BDL 211 32 0 28 Jan 2022
Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives Pierre-Alexandre Mattei J. Frellsen 125 4 0 26 Jan 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic ModelsInternational Conference on Learning Representations (ICLR), 2022 Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 330 388 0 17 Jan 2022
Reconstruction of Incomplete Wildfire Data using Deep Generative Models T. Ivek Domagoj Vlah SyDa 171 8 0 16 Jan 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 487 139 0 02 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance SamplingInternational Conference on Machine Learning (ICML), 2021 M. Jankowiak Du Phan BDL 221 13 0 22 Dec 2021
Multimodal Adversarially Learned Inference with Factorized DiscriminatorsAAAI Conference on Artificial Intelligence (AAAI), 2021 Wenxue Chen Jianke Zhu 151 3 0 20 Dec 2021
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 178 13 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 582 267 0 14 Dec 2021
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement Yi Li Yang Sun K. Horoshenkov S. M. Naqvi 114 30 0 09 Dec 2021
Estimating the Value-at-Risk by Temporal VAE Robert Sicks S. Grimm R. Korn Ivo Richert 171 7 0 03 Dec 2021
The Exponentially Tilted Gaussian Prior for Variational Autoencoders Griffin Floto Stefan Kremer Mihai Nica DRL 127 1 0 30 Nov 2021
Variational Gibbs Inference for Statistical Model Estimation from Incomplete DataJournal of machine learning research (JMLR), 2021 Vaidotas Šimkus Benjamin Rhodes Michael U. Gutmann 246 9 0 25 Nov 2021
Towards Empirical Sandwich Bounds on the Rate-Distortion Function Jianlong Wu Stephan Mandt 224 27 0 23 Nov 2021
Exploring Story Generation with Multi-task Objectives in Variational AutoencodersAustralasian Language Technology Association Workshop (ALTA), 2021 Zhuohan Xie Trevor Cohn Jey Han Lau DRL 108 7 0 15 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation Shivani Malhotra Vinay Kumar A. K. Agarwal DRL 103 0 0 10 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 115 7 0 04 Nov 2021
Pseudo-Spherical Contrastive DivergenceNeural Information Processing Systems (NeurIPS), 2021 Lantao Yu Jiaming Song Yang Song Stefano Ermon 209 7 0 01 Nov 2021
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoffInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Anna Korba Franccois Portier 185 16 0 29 Oct 2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial SpacesNeural Information Processing Systems (NeurIPS), 2021 Kirill Struminsky Artyom Gadetsky D. Rakitin Danil Karpushkin Dmitry Vetrov BDL 246 9 0 28 Oct 2021
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization Alban Petit Caio Corro DRL 205 3 0 28 Oct 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 145 19 0 27 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 264 94 0 27 Oct 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator Alek Dimitriev Mingyuan Zhou 281 8 0 26 Oct 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty AwarenessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Dazhong Shen Chuan Qin Chao Wang Hengshu Zhu Enhong Chen Hui Xiong UQCV 123 21 0 24 Oct 2021