Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Deep Latent State Space Models for Time-Series Generation Linqi Zhou Michael Poli Winnie Xu Stefano Massaroli Stefano Ermon BDL AI4TS 14 34 0 24 Dec 2022
Generalizing Multimodal Variational Methods to Sets Jinzhao Zhou Yiqun Duan Zhihong Chen Yu-Cheng Chang Chin-Teng Lin DRL 50 0 0 19 Dec 2022
Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering Dexun Li BDL AI4TS 17 0 0 18 Dec 2022
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation Yuxi Feng Xiaoyuan Yi Xiting Wang L. Lakshmanan Xing Xie DiffM 35 5 0 16 Dec 2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve Juhan Bae Michael Ruogu Zhang Michael Ruan Eric Wang S. Hasegawa Jimmy Ba Roger C. Grosse DRL 29 17 0 07 Dec 2022
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 21 4 0 06 Dec 2022
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 26 21 0 30 Nov 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data Zongyu Dai Zhiqi Bu Q. Long 35 4 0 23 Nov 2022
Normalizing Flow with Variational Latent Representation Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang BDL OOD DRL 13 0 0 21 Nov 2022
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 29 15 0 18 Nov 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 32 2 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 Jisung Park Lois Orosa O. Mutlu 20 1 0 10 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling Romain Lopez Natavsa Tagasovska Stephen Ra K. Cho J. Pritchard Aviv Regev OOD CML DRL 36 35 0 07 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 21 4 0 04 Nov 2022
Circling Back to Recurrent Models of Language Gábor Melis 40 0 0 03 Nov 2022
Improving Variational Autoencoders with Density Gap-based Regularization Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 36 4 0 01 Nov 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 27 20 0 24 Oct 2022
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization K. Pham Hung Le Man Ngo T. Tran OODD 33 1 0 23 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior Yohan Jung Jinkyoo Park BDL 28 0 0 22 Oct 2022
Break The Spell Of Total Correlation In betaTCVAE Zihao Chen Qiang Li Bing Guo CML DRL 26 1 0 17 Oct 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 19 8 0 12 Oct 2022
Multi-Task Dynamical Systems Alex Bird Christopher K. I. Williams Christopher Hawthorne AI4TS 16 1 0 08 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 38 9 0 03 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 136 78 0 02 Oct 2022
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders Oskar Kviman Ricky Molén A. Hotti Semih Kurt Victor Elvira J. Lagergren 32 11 0 30 Sep 2022
Multi-Sample Training for Neural Image Compression Tongda Xu Yan Wang Dailan He Chenjian Gao Han-yi Gao Kun Liu Hongwei Qin 34 5 0 28 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 27 1 0 27 Sep 2022
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 16 0 0 23 Sep 2022
Variational Open-Domain Question Answering Valentin Liévin Andreas Geert Motzfeldt Ida Riis Jensen Ole Winther OOD BDL 38 8 0 23 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion Fabian Duffhauss Ngo Anh Vien Hanna Ziesche Gerhard Neumann 38 4 0 22 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 30 14 0 22 Sep 2022
Continuous Mixtures of Tractable Probabilistic Models Alvaro H. C. Correia G. Gala Erik Quaeghebeur Cassio de Campos Robert Peharz TPM 19 18 0 21 Sep 2022
Bit Allocation using Optimization Tongda Xu Han-yi Gao Chenjian Gao Yuanyuan Wang Dailan He ... Mao Ye Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 56 14 0 20 Sep 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 37 21 0 15 Sep 2022
Unsupervised representation learning with recognition-parametrised probabilistic models William I. Walker Hugo Soulat Changmin Yu M. Sahani BDL 23 2 0 13 Sep 2022
Unifying Generative Models with GFlowNets and Beyond Dinghuai Zhang Ricky T. Q. Chen Nikolay Malkin Yoshua Bengio BDL AI4CE 59 25 0 06 Sep 2022
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye Lemeng Wu Qiang Liu DiffM 21 19 0 02 Sep 2022
Continuous-time Particle Filtering for Latent Stochastic Differential Equations Ruizhi Deng Greg Mori Andreas M. Lehrmann BDL 30 0 0 01 Sep 2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu Lemeng Wu Mao Ye Qiang Liu DiffM 34 80 0 31 Aug 2022
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 43 43 0 16 Aug 2022
Continual Variational Autoencoder Learning via Online Cooperative Memorization Fei Ye A. Bors CLL 22 17 0 20 Jul 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse Sachit Menon David M. Blei Carl Vondrick DRL 22 6 0 19 Jul 2022
Deeply-Learned Generalized Linear Models with Missing Data David K. Lim N. Rashid Junier B Oliva J. Ibrahim AI4CE 29 0 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 61 24 0 17 Jul 2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs Simao Eduardo Kai Xu A. Nazábal Charles Sutton DRL 22 0 0 17 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 26 12 0 14 Jul 2022
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling Gabriel Victorino Cardoso S. Samsonov Achille Thin Eric Moulines Jimmy Olsson 37 6 0 13 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xing Xie 41 21 0 13 Jul 2022
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 62 76 0 05 Jul 2022