Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1509.00519
Cited By
v1
v2
v3
v4 (latest)
Importance Weighted Autoencoders
International Conference on Learning Representations (ICLR), 2015
1 September 2015
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Importance Weighted Autoencoders"
50 / 816 papers shown
GFlowNet Training by Policy Gradients
International Conference on Machine Learning (ICML), 2024
Puhua Niu
Shili Wu
Mingzhou Fan
Xiaoning Qian
309
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
154
3
0
09 Aug 2024
NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities
International Conference on AI in Finance (ICAF), 2024
Achintya Gopal
310
4
0
02 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI Conference on Artificial Intelligence (AAAI), 2024
Benjie Wang
Karen Ullrich
TPM
419
13
0
01 Aug 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
630
1
0
22 Jul 2024
Parallelizing Autoregressive Generation with Variational State Space Models
Gaspard Lambrechts
Yann Claes
Pierre Geurts
Damien Ernst
265
2
0
11 Jul 2024
Multi-level Reliability Interface for Semantic Communications over Wireless Networks
Tze-Yang Tung
H. Esfahanizadeh
Jinfeng Du
H. Viswanathan
239
5
0
07 Jul 2024
Uniform Transformation: Refining Latent Representation in Variational Autoencoders
Ye Shi
C. S. G. Lee
OOD
DRL
264
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
392
10
0
22 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLM
AAML
236
9
0
13 Jun 2024
Efficient Mixture Learning in Black-Box Variational Inference
A. Hotti
Oskar Kviman
Ricky Molén
Victor Elvira
Jens Lagergren
295
3
0
11 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations
International Conference on Machine Learning (ICML), 2024
Qitian Wu
Fan Nie
Chenxiao Yang
Junchi Yan
OOD
276
2
0
07 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing
Markus Heinonen
Ba-Hien Tran
Michael Kampffmeyer
Maurizio Filippone
569
2
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
327
2
0
31 May 2024
Understanding and mitigating difficulties in posterior predictive evaluation
Abhinav Agrawal
Justin Domke
UQCV
183
0
0
30 May 2024
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn
Kushagra Pandey
188
0
0
23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2024
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
286
8
0
23 May 2024
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao
Rob Brekelmans
Alireza Makhzani
Roger C. Grosse
274
53
0
26 Apr 2024
Fast and Unified Path Gradient Estimators for Normalizing Flows
International Conference on Learning Representations (ICLR), 2024
Lorenz Vaitl
Ludwig Winkler
Lorenz Richter
Pan Kessel
268
5
0
23 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
252
11
0
15 Mar 2024
VISA: Variational Inference with Sequential Sample-Average Approximations
Neural Information Processing Systems (NeurIPS), 2024
Heiko Zimmermann
C. A. Naesseth
Jan-Willem van de Meent
213
1
0
14 Mar 2024
A tutorial on multi-view autoencoders using the multi-view-AE library
A. L. Aguila
André Altmann
166
3
0
12 Mar 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yuda Shao
Shan Yu
Tianshu Feng
232
2
0
10 Mar 2024
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families
Vaidotas Šimkus
Michael U. Gutmann
209
4
0
05 Mar 2024
Certain and Approximately Certain Models for Statistical Learning
Cheng Zhen
Nischal Aryal
Arash Termehchy
Alireza Aghasi
Amandeep Singh Chabada
219
2
0
27 Feb 2024
Differentiable Particle Filtering using Optimal Placement Resampling
Domonkos Csuzdi
Olivér Törő
Tamás Bécsi
193
0
0
26 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
Jiahe Lin
Huitian Lei
G. Michailidis
CML
268
0
0
25 Feb 2024
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba
Dylan Green
Saeid Naderiparizi
Vasileios Lioutas
J. Lavington
...
Ke Zhang
Setareh Dabiri
Adam Scibior
Berend Zwartsenberg
Frank Wood
DiffM
181
6
0
12 Feb 2024
Improved off-policy training of diffusion samplers
Marcin Sendera
Minsu Kim
Sarthak Mittal
Pablo Lemos
Luca Scimeca
Jarrid Rector-Brooks
Alexandre Adam
Yoshua Bengio
Nikolay Malkin
OffRL
710
41
0
07 Feb 2024
The VampPrior Mixture Model
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Andrew Stirn
David A. Knowles
BDL
296
1
0
06 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
Antoine Godichon-Baggioni
Adeline Fermanian
Sylvain Le Corff
299
3
0
05 Feb 2024
Demystifying Variational Diffusion Models
Fabio De Sousa Ribeiro
Ben Glocker
DiffM
298
0
0
11 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
DRL
219
17
0
28 Dec 2023
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
Rui Zhao
Liang Zhang
Biao Fu
Cong Hu
Jinsong Su
Yidong Chen
SLR
223
28
0
25 Dec 2023
Structure-Aware Path Inference for Neural Finite State Transducers
Weiting Tan
Chu-cheng Lin
Jason Eisner
152
0
0
21 Dec 2023
Online Variational Sequential Monte Carlo
Alessandro Mastrototaro
Jimmy Olsson
BDL
OffRL
306
3
0
19 Dec 2023
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Reviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
352
25
0
15 Dec 2023
Are Ensembles Getting Better all the Time?
Pierre-Alexandre Mattei
Damien Garreau
OOD
FedML
512
4
0
29 Nov 2023
On the Impact of Sampling on Deep Sequential State Estimation
Asilomar Conference on Signals, Systems and Computers (ACSSC), 2023
Helena Calatrava
R. Borsoi
Tales Imbiriba
Pau Closas
BDL
130
0
0
28 Nov 2023
Training Chain-of-Thought via Latent-Variable Inference
Neural Information Processing Systems (NeurIPS), 2023
Du Phan
Matthew D. Hoffman
David Dohan
Sholto Douglas
Tuan Anh Le
Aaron T Parisi
Pavel Sountsov
Charles Sutton
Sharad Vikram
Rif A. Saurous
BDL
ReLM
LRM
282
50
0
28 Nov 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Changyu Chen
Ramesha Karunasena
Thanh Hong Nguyen
Arunesh Sinha
Pradeep Varakantham
215
12
0
26 Nov 2023
Touring sampling with pushforward maps
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Vivien A. Cabannes
Charles Arnal
147
0
0
23 Nov 2023
Generative Machine Learning for Multivariate Equity Returns
International Conference on AI in Finance (ICAF), 2023
Ruslan Tepelyan
Achintya Gopal
AIFin
SyDa
185
8
0
21 Nov 2023
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder
Yu-Eop Kang
Dawoon Lee
K. Yee
217
0
0
18 Nov 2023
Matching aggregate posteriors in the variational autoencoder
International Conference on Pattern Recognition (ICPR), 2023
Surojit Saha
Sarang Joshi
Ross T. Whitaker
DRL
235
5
0
13 Nov 2023
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2023
Michael D. Bereket
Theofanis Karaletsos
DRL
239
34
0
05 Nov 2023
Forward
χ
2
χ^2
χ
2
Divergence Based Variational Importance Sampling
International Conference on Learning Representations (ICLR), 2023
Chengrui Li
Yule Wang
Weihan Li
Anqi Wu
BDL
227
2
0
04 Nov 2023
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows
Mingxuan Yi
Song Liu
DRL
226
9
0
31 Oct 2023
Using Autodiff to Estimate Posterior Moments, Marginals and Samples
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Sam Bowyer
Thomas Heap
Laurence Aitchison
260
1
0
26 Oct 2023
Adaptive importance sampling for heavy-tailed distributions via
α
α
α
-divergence minimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Thomas Guilmeau
Nicola Branchini
Émilie Chouzenoux
Victor Elvira
240
3
0
25 Oct 2023
Previous
1
2
3
4
5
...
15
16
17
Next
