Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Kihun Hong Sejun Park Ganguk Hwang FedML 36 0 0 16 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 39 0 0 15 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il Kim Guanghui Wang CLL 55 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 Missions Jiadong Lou Bingqing Liu Yuanheng Xiong Xiaodong Zhang Xu Yuan 31 0 0 18 Apr 2025
Wavelet-based Variational Autoencoders for High-Resolution Image Generation Andrew Kiruluta DiffM 37 0 0 16 Apr 2025
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 28 0 0 10 Apr 2025
Domain Adaptation Under MNAR Missingness Tyrel Stokes Hyungrok Do Saul Blecker Rumi Chunara Samrachana Adhikari OOD 45 0 0 01 Apr 2025
Optimizing Language Models for Inference Time Objectives using Reinforcement Learning Yunhao Tang Kunhao Zheng Gabriel Synnaeve Rémi Munos 41 2 0 25 Mar 2025
Learning to chain-of-thought with Jensen's evidence lower bound Yunhao Tang Sid Wang Rémi Munos BDL OffRL LRM 55 0 0 25 Mar 2025
Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap Sam Bowyer Laurence Aitchison 49 0 0 11 Mar 2025
Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data Paula Santos DRL 67 0 0 25 Feb 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 41 0 0 15 Feb 2025
Learning Hyperparameters via a Data-Emphasized Variational Objective Ethan Harvey Mikhail Petrov Michael C. Hughes 65 0 0 03 Feb 2025
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 55 0 0 14 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q. Wang Marco Federici H. V. Hoof UQCV BDL 48 13 0 08 Jan 2025
Hierarchical VAE with a Diffusion-based VampPrior Anna Kuzina Jakub M. Tomczak DiffM TPM BDL 97 1 0 02 Dec 2024
Filling in Missing FX Implied Volatilities with Uncertainties: Improving VAE-Based Volatility Imputation Achintya Gopal 16 0 0 08 Nov 2024
Correlating Variational Autoencoders Natively For Multi-View Imputation Ella S. C. Orme Marina Evangelou Ulrich Paquet CML 32 0 0 05 Nov 2024
Recursive Learning of Asymptotic Variational Objectives Alessandro Mastrototaro Mathias Müller Jimmy Olsson 26 0 0 04 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings Milad Khademi Nori Il Kim CLL 44 3 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 39 0 0 26 Oct 2024
On Divergence Measures for Training GFlowNets Tiago da Silva Eliezer de Souza da Silva Diego Mesquita BDL 33 1 0 12 Oct 2024
Protect Before Generate: Error Correcting Codes within Discrete Deep Generative Models María Martínez-García Grace Villacrés David Mitchell Pablo Martínez Olmos DRL 24 0 0 10 Oct 2024
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models Shivam Kumar Yun Yang Lizhen Lin 28 0 0 02 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 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 50 0 0 05 Sep 2024
A Statistical Framework for Data-dependent Retrieval-Augmented Models Soumya Basu A. S. Rawat Manzil Zaheer RALM 49 0 0 27 Aug 2024
GFlowNet Training by Policy Gradients Puhua Niu Shili Wu Mingzhou Fan Xiaoning Qian 91 3 0 12 Aug 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 30 1 0 09 Aug 2024
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities Achintya Gopal 40 0 0 02 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits Benjie Wang Mathias Niepert TPM 45 5 0 01 Aug 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 55 0 0 22 Jul 2024
Parallelizing Autoregressive Generation with Variational State Space Models Gaspard Lambrechts Yann Claes Pierre Geurts Damien Ernst 26 0 0 11 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational Autoencoders Ye Shi C. S. G. Lee OOD DRL 35 0 0 02 Jul 2024
Probabilistic Programming with Programmable Variational Inference McCoy R. Becker Alexander K. Lew Xiaoyan Wang Matin Ghavami Mathieu Huot Martin Rinard Vikash K. Mansinghka 59 3 0 22 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 Jun 2024
Efficient Mixture Learning in Black-Box Variational Inference A. Hotti Oskar Kviman Ricky Molén Victor Elvira Jens Lagergren 49 1 0 11 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu Fan Nie Chenxiao Yang Junchi Yan OOD 48 1 0 07 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 73 0 0 03 Jun 2024
Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis SeungHwan An Gyeongdong Woo Jaesung Lim ChangHyun Kim Sungchul Hong Jong-June Jeon 67 1 0 31 May 2024
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 45 0 0 30 May 2024
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution Johannes Zenn Robert Bamler 41 1 0 23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization Zhibo Chen Heming Sun Li Zhang Fan Zhang 40 3 0 23 May 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 66 1 0 21 May 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo Stephen Zhao Rob Brekelmans Alireza Makhzani Roger C. Grosse 42 33 0 26 Apr 2024
Fast and Unified Path Gradient Estimators for Normalizing Flows Lorenz Vaitl Ludwig Winkler Lorenz Richter Pan Kessel 44 4 0 23 Mar 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 41 6 0 15 Mar 2024
VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann C. A. Naesseth Jan-Willem van de Meent 35 1 0 14 Mar 2024
A tutorial on multi-view autoencoders using the multi-view-AE library A. L. Aguila André Altmann 54 2 0 12 Mar 2024