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1509.00519
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Importance Weighted Autoencoders
International Conference on Learning Representations (ICLR), 2015
1 September 2015
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
Re-assign community
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Papers citing
"Importance Weighted Autoencoders"
50 / 816 papers shown
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135
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169
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Creativity and Machine Learning: A Survey
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Mirco Musolesi
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534
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06 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness
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Shuo Han
Nandi O. Leslie
Charles A. Kamhoua
Jie Fu
281
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01 Apr 2021
Variational Rejection Particle Filtering
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S. Banerjee
Dootika Vats
Piyush Rai
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175
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29 Mar 2021
SKID RAW: Skill Discovery from Raw Trajectories
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Daniel Tanneberg
Kai Ploeger
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204
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Neighbor Embedding Variational Autoencoder
Renfei Tu
Yang Liu
Yongzeng Xue
Cheng Wang
Maozu Guo
BDL
DRL
127
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0
21 Mar 2021
NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform
Achille Thin
Yazid Janati
Sylvain Le Corff
Charles Ollion
Arnaud Doucet
Alain Durmus
Eric Moulines
C. Robert
267
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0
17 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
International Conference on Learning Representations (ICLR), 2021
DJordje Miladinović
Aleksandar Stanić
Stefan Bauer
Jürgen Schmidhuber
J. M. Buhmann
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155
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0
16 Mar 2021
Spatiotemporal Tensor Completion for Improved Urban Traffic Imputation
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103
45
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12 Mar 2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
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Max Welling
Jakub M. Tomczak
AAML
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176
11
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10 Mar 2021
A prior-based approximate latent Riemannian metric
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Georgios Arvanitidis
B. Georgiev
Bernhard Schölkopf
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146
14
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09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
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Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
721
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R. Cornish
Luke J. Kelly
Chris Holmes
127
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Trong-Nghia Nguyen
Viet-Hung Dao
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190
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01 Mar 2021
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David Evangelista
E. Loli Piccolomini
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187
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01 Mar 2021
Learning Proposals for Probabilistic Programs with Inference Combinators
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Sam Stites
Heiko Zimmermann
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Eli Sennesh
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287
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An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations
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98
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25 Feb 2021
Product-form estimators: exploiting independence to scale up Monte Carlo
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Juan Kuntz
F. R. Crucinio
A. M. Johansen
379
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23 Feb 2021
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International Conference on Machine Learning (ICML), 2021
Yangjun Ruan
Karen Ullrich
Daniel de Souza Severo
James Townsend
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Arnaud Doucet
Alireza Makhzani
Chris J. Maddison
238
25
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22 Feb 2021
Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory
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Jason Ramapuram
Yan Wu
Alexandros Kalousis
203
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20 Feb 2021
Linear Classifiers in Product Space Forms
Puoya Tabaghi
Chao Pan
Eli Chien
Jianhao Peng
S. Rasoul Etesami
210
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19 Feb 2021
VAE Approximation Error: ELBO and Exponential Families
International Conference on Learning Representations (ICLR), 2021
Alexander Shekhovtsov
D. Schlesinger
B. Flach
DRL
185
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18 Feb 2021
Preventing Oversmoothing in VAE via Generalized Variance Parameterization
Neurocomputing (Neurocomputing), 2021
Yuhta Takida
Wei-Hsiang Liao
Chieh-Hsin Lai
Toshimitsu Uesaka
Shusuke Takahashi
Yuki Mitsufuji
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217
18
0
17 Feb 2021
Hierarchical VAEs Know What They Don't Know
International Conference on Machine Learning (ICML), 2021
Jakob Drachmann Havtorn
J. Frellsen
Søren Hauberg
Lars Maaløe
DRL
615
83
0
16 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
International Conference on Machine Learning (ICML), 2021
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
230
87
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15 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Neural Information Processing Systems (NeurIPS), 2021
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
636
560
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10 Feb 2021
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
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Vladimir Pavlovic
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230
6
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05 Feb 2021
Neural representation and generation for RNA secondary structures
International Conference on Learning Representations (ICLR), 2021
Zichao Yan
William L. Hamilton
Mathieu Blanchette
113
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01 Feb 2021
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Longyuan Li
Junchi Yan
Xiaokang Yang
Yaohui Jin
OOD
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AI4TS
173
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31 Jan 2021
Estimating the Unique Information of Continuous Variables
Neural Information Processing Systems (NeurIPS), 2021
Ari Pakman
Amin Nejatbakhsh
D. Gilboa
Abdullah Makkeh
Luca Mazzucato
Michael Wibral
E. Schneidman
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30 Jan 2021
Generalized Doubly Reparameterized Gradient Estimators
International Conference on Machine Learning (ICML), 2021
Matthias Bauer
A. Mnih
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119
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26 Jan 2021
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders
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N. Rashid
Junier B. Oliva
J. Ibrahim
138
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18 Jan 2021
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
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Oswin Krause
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Christian Igel
232
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18 Jan 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models
International Conference on Learning Representations (ICLR), 2021
Justin Bayer
Maximilian Soelch
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
256
17
0
18 Jan 2021
Cauchy-Schwarz Regularized Autoencoder
Journal of machine learning research (JMLR), 2021
Linh-Tam Tran
Maja Pantic
M. Deisenroth
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230
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A Tutorial on Sparse Gaussian Processes and Variational Inference
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Vincent Dutordoir
S. T. John
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Variational Determinant Estimation with Spherical Normalizing Flows
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Emiel Hoogeboom
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180
1
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Unsupervised Learning of Global Factors in Deep Generative Models
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I. Peis
Pablo M. Olmos
Antonio Artés-Rodríguez
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215
11
0
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Recursive Tree Grammar Autoencoders
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I. Koprinska
K. Yacef
139
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Mutual Information Constraints for Monte-Carlo Objectives
Journal of machine learning research (JMLR), 2020
Gábor Melis
András Gyorgy
Phil Blunsom
221
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Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
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Cheng Zhang
BDL
156
30
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Recursive Inference for Variational Autoencoders
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Minyoung Kim
Vladimir Pavlovic
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189
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Michael Kagan
Antoine Wehenkel
Gilles Louppe
221
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On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
International Conference on Machine Learning (ICML), 2020
Tim G. J. Rudner
Oscar Key
Y. Gal
Tom Rainforth
154
4
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Neural Information Processing Systems (NeurIPS), 2020
Vu-Linh Nguyen
Vaden Masrani
Rob Brekelmans
Michael A. Osborne
Frank Wood
250
5
0
29 Oct 2020
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Jindong Jiang
Sungjin Ahn
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579
71
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Geometry-Aware Hamiltonian Variational Auto-Encoder
Clément Chadebec
Clément Mantoux
S. Allassonnière
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181
17
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Warren Morningstar
Alexander A. Alemi
Joshua V. Dillon
423
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19 Oct 2020
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