v1v2v3v4 (latest)

Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 815 papers shown

Title
Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation Zarin Tahia Hossain Mostafa Milani 89 0 0 26 Nov 2025
Amortized Active Generation of Pareto Sets Daniel M. Steinberg Asiri Wijesinghe Rafael Oliveira Piotr Koniusz Cheng Soon Ong Edwin V. Bonilla 92 0 0 23 Oct 2025
Functional Distribution Networks (FDN) Omer Haq UQCV 134 0 0 20 Oct 2025
Marginal Flow: a flexible and efficient framework for density estimation M. Negri Jonathan Aellen Manuel Jahn AmirEhsan Khorashadizadeh Volker Roth 100 0 0 30 Sep 2025
Beyond Softmax: A Natural Parameterization for Categorical Random Variables A. Manenti Cesare Alippi BDL 80 0 0 29 Sep 2025
Variational Reasoning for Language Models Xiangxin Zhou Zichen Liu Haonan Wang Chao Du Min Lin Chongxuan Li Liang Wang Tianyu Pang OffRL LRM 137 0 0 26 Sep 2025
Misspecification-robust amortised simulation-based inference using variational methods Matthew O'Callaghan Kaisey S. Mandel Gerry Gilmore 96 0 0 06 Sep 2025
Missing Data Imputation using Neural Cellular Automata Tin Luu Binh Nguyen Man Ngo 100 0 0 31 Aug 2025
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning Tiandi Ye Wenyan Liu Kai Yao Lichun Li Shangchao Su Cen Chen Xiang Li Shan Yin Ming Gao FedML 68 0 0 27 Aug 2025
Importance Sampling is All You Need: Predict LLM's performance on new benchmark by reusing existing benchmark Junjie Shi Wei Ma Shi Ying Lingxiao Jiang Yang Liu Bo Du ALM 100 1 0 02 Aug 2025
Simulation-Prior Independent Neural Unfolding Procedure A. Butter Theo Heimel Nathan Huetsch Michael Kagan Tilman Plehn AI4CE 72 2 0 20 Jul 2025
Tractable Representation Learning with Probabilistic Circuits Steven Braun Sahil Sidheekh Antonio Vergari Martin Mundt S. Natarajan Kristian Kersting TPM 276 0 0 06 Jul 2025
Rao-Blackwellised Reparameterisation Gradients Kevin Lam Thang Bui George Deligiannidis Yee Whye Teh DRL BDL 159 0 0 09 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 204 0 0 04 Jun 2025
Learning Monotonic Probabilities with a Generative Cost Model Yongxiang Tang Yanhua Cheng Xiaocheng Liu Chenchen Jiao Yanxiang Zeng Ning Luo Pengjia Yuan Xialong Liu Peng Jiang 194 0 0 04 Jun 2025
Score Matching With Missing Data Josh Givens Song Liu Henry W. J. Reeve 186 2 0 31 May 2025
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models Fengqi Zhu Rongzhen Wang Shen Nie Xiaolu Zhang Chunwei Wu ... Jun Zhou Jianfei Chen Yankai Lin Ji-Rong Wen Chongxuan Li 377 85 0 25 May 2025
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning Wenbo He Zhijian Ou DRL BDL 106 0 0 24 May 2025
Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling Tianyu Xie Shuchen Xue Zijin Feng Tianyang Hu Jiacheng Sun Zhenguo Li Cheng Zhang DiffM 956 1 0 23 May 2025
Bidirectional Variational AutoencodersIEEE International Joint Conference on Neural Network (IJCNN), 2024 Bart Kosko Olaoluwa Adigun BDL 205 0 0 21 May 2025
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Kihun Hong Sejun Park Ganguk Hwang FedML 203 0 0 16 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 280 1 0 15 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il-Min Kim Guanghui Wang CLL 337 0 0 09 May 2025
Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE MissionsIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 Jiadong Lou Bingqing Liu Yuanheng Xiong Xiaodong Zhang Xu Yuan 158 6 0 18 Apr 2025
Wavelet-based Variational Autoencoders for High-Resolution Image Generation Andrew Kiruluta DiffM 141 1 0 16 Apr 2025
Towards Distribution Matching between Collaborative and Language Spaces for Generative RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 275 3 0 10 Apr 2025
Domain Adaptation Under MNAR Missingness Tyrel Stokes Hyungrok Do Saul Blecker Rumi Chunara Samrachana Adhikari OOD 191 1 0 01 Apr 2025
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning Yunhao Tang Kunhao Zheng Gabriel Synnaeve Rémi Munos 133 18 0 25 Mar 2025
Massively Parallel Expectation Maximization For Approximate PosteriorsSymposium on Advances in Approximate Bayesian Inference (AABI), 2025 Thomas Heap Sam Bowyer Laurence Aitchison 192 0 0 11 Mar 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 428 0 0 25 Feb 2025
Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data Paula Santos DRL 267 0 0 25 Feb 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 380 0 0 15 Feb 2025
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 293 0 0 03 Feb 2025
Globally Convergent Variational InferenceNeural Information Processing Systems (NeurIPS), 2025 Declan McNamara J. Loper Jeffrey Regier 249 0 0 14 Jan 2025
Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound ImagingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Simon W. Penninga Hans van Gorp Ruud J. G. van Sloun MedIm 83 2 0 08 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation MaximizationInternational Conference on Learning Representations (ICLR), 2025 Q. Wang Marco Federici H. V. Hoof UQCV BDL 255 17 0 08 Jan 2025
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 308 3 0 02 Dec 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation Achintya Gopal 114 1 0 08 Nov 2024
Correlating Variational Autoencoders Natively For Multi-View Imputation Ella S. C. Orme Marina Evangelou Ulrich Paquet CML 203 0 0 05 Nov 2024
Recursive Learning of Asymptotic Variational ObjectivesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Alessandro Mastrototaro Mathias Müller Jimmy Olsson 173 0 0 04 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative ModelingsNeural Information Processing Systems (NeurIPS), 2024 Milad Khademi Nori Il-Min Kim CLL 168 4 0 28 Oct 2024
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova GAN 236 1 0 28 Oct 2024
Your Image is Secretly the Last Frame of a Pseudo Video Wenlong Chen Wenlin Chen Lapo Rastrelli Yingzhen Li DiffM VGen 312 0 0 26 Oct 2024
On Divergence Measures for Training GFlowNetsNeural Information Processing Systems (NeurIPS), 2024 Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 341 4 0 12 Oct 2024
Improved Variational Inference in Discrete VAEs using Error Correcting CodesConference on Uncertainty in Artificial Intelligence (UAI), 2024 María Martínez-García Grace Villacrés David Mitchell Pablo M. Olmos DRL 228 0 0 10 Oct 2024
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models Shivam Kumar Yun Yang Lizhen Lin 202 0 0 02 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 220 4 0 01 Oct 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 180 0 0 05 Sep 2024
A Statistical Framework for Data-dependent Retrieval-Augmented ModelsInternational Conference on Machine Learning (ICML), 2024 Soumya Basu A. S. Rawat Manzil Zaheer RALM 229 1 0 27 Aug 2024
GFlowNet Training by Policy GradientsInternational Conference on Machine Learning (ICML), 2024 Puhua Niu Shili Wu Mingzhou Fan Xiaoning Qian 268 3 0 12 Aug 2024