Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
A Study on the Evaluation of Generative Models Eyal Betzalel Coby Penso Aviv Navon Ethan Fetaya EGVM 33 48 0 22 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
Bounding Evidence and Estimating Log-Likelihood in VAE Lukasz Struski Marcin Mazur Pawel Batorski Przemysław Spurek Jacek Tabor 21 3 0 19 Jun 2022
Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl K. Nicoli Shinichi Nakajima Pan Kessel 27 13 0 17 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 40 25 0 17 Jun 2022
Classification of datasets with imputed missing values: does imputation quality matter? Tolou Shadbahr M. Roberts Jan Stanczuk J. Gilbey P. Teare ... T. Mirtti A. Rannikko J. Aston Jing Tang Carola-Bibiane Schönlieb 37 52 0 16 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case Clément Chadebec Louis J. Vincent S. Allassonnière DRL 39 29 0 16 Jun 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 24 76 0 15 Jun 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 21 15 0 13 Jun 2022
From Perception to Programs: Regularize, Overparameterize, and Amortize Hao Tang Kevin Ellis NAI 31 10 0 13 Jun 2022
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs Nutan Chen Patrick van der Smagt Botond Cseke CLL 21 2 0 13 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 40 82 0 13 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 32 27 0 09 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 41 82 0 07 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 23 7 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 29 5 0 01 Jun 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation M. Wojnowicz Shuchin Aeron Eric L. Miller M. C. Hughes 33 2 0 31 May 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Conditional set generation using Seq2seq models Aman Madaan Dheeraj Rajagopal Niket Tandon Yiming Yang Antoine Bosselut 35 10 0 25 May 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
Deterministic training of generative autoencoders using invertible layers Gianluigi Silvestri Daan Roos L. Ambrogioni TPM 21 2 0 19 May 2022
Importance Weighted Structure Learning for Scene Graph Generation Daqing Liu M. Bober J. Kittler 29 5 0 14 May 2022
Variational Sparse Coding with Learned Thresholding Kion Fallah Christopher Rozell DRL 36 7 0 07 May 2022
Inducing and Using Alignments for Transition-based AMR Parsing Andrew Drozdov Jiawei Zhou Radu Florian Andrew McCallum Tahira Naseem Yoon Kim Ramón Fernández Astudillo 39 27 0 03 May 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 32 25 0 02 May 2022
SIReN-VAE: Leveraging Flows and Amortized Inference for Bayesian Networks Jacobie Mouton Steve Kroon DRL BDL 26 0 0 23 Apr 2022
Interpolation of Missing Swaption Volatility Data using Gibbs Sampling on Variational Autoencoders Ivo Richert R. Buch 32 1 0 21 Apr 2022
Wrapped Distributions on homogeneous Riemannian manifolds F. Galaz‐García Marios Papamichalis K. Turnbull Simón Lunagómez E. Airoldi 20 9 0 20 Apr 2022
A Variational Approach to Bayesian Phylogenetic Inference Cheng Zhang IV FrederickA.Matsen BDL 24 17 0 16 Apr 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 31 16 0 15 Apr 2022
A Personalized Dialogue Generator with Implicit User Persona Detection Itsugun Cho Dongyang Wang Ryota Takahashi Hiroaki Saito 27 15 0 15 Apr 2022
Neural Processes with Stochastic Attention: Paying more attention to the context dataset Mingyu Kim Kyeongryeol Go Se-Young Yun 35 20 0 11 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 27 3 0 06 Apr 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 39 122 0 30 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 31 12 0 18 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 29 5 0 08 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 32 47 0 08 Mar 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits H. Flynn David Reeb M. Kandemir Jan Peters 34 7 0 07 Mar 2022
Recursive Monte Carlo and Variational Inference with Auxiliary Variables Alexander K. Lew Marco F. Cusumano-Towner Vikash K. Mansinghka BDL 24 10 0 05 Mar 2022
Robust PAC $^m$ : Training Ensemble Models Under Misspecification and Outliers Matteo Zecchin Sangwoo Park Osvaldo Simeone Marios Kountouris David Gesbert 16 5 0 03 Mar 2022
Learning Conditional Variational Autoencoders with Missing Covariates S. Ramchandran Gleb Tikhonov Otto Lönnroth Pekka Tiikkainen Harri Lähdesmäki CML 27 14 0 02 Mar 2022
Model-agnostic out-of-distribution detection using combined statistical tests Federico Bergamin Pierre-Alexandre Mattei Jakob Drachmann Havtorn Hugo Senetaire Hugo Schmutz Lars Maaløe Søren Hauberg J. Frellsen OODD 35 19 0 02 Mar 2022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny Hazal Koptagel Oskar Kviman Harald Melin Negar Safinianaini J. Lagergren 11 18 0 01 Mar 2022
Estimators of Entropy and Information via Inference in Probabilistic Models Feras A. Saad Marco F. Cusumano-Towner Vikash K. Mansinghka 13 4 0 24 Feb 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 53 17 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 11 0 0 23 Feb 2022
Gradient Estimation with Discrete Stein Operators Jiaxin Shi Yuhao Zhou Jessica Hwang Michalis K. Titsias Lester W. Mackey 33 22 0 19 Feb 2022
An Introduction to Neural Data Compression Yibo Yang Stephan Mandt Lucas Theis 24 118 0 14 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu Haixu Wu Zihan Qiu Jianmin Wang Mingsheng Long OffRL 35 65 0 13 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery Valentin Villecroze H. Braviner Panteha Naderian Chris J. Maddison G. Loaiza-Ganem BDL OffRL 26 8 0 09 Feb 2022