ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1312.6114
  4. Cited By
Auto-Encoding Variational Bayes

Auto-Encoding Variational Bayes

20 December 2013
Diederik P. Kingma
Max Welling
    BDL
ArXivPDFHTML

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,690 papers shown
Title
Design-Bench: Benchmarks for Data-Driven Offline Model-Based
  Optimization
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
Brandon Trabucco
Xinyang Geng
Aviral Kumar
Sergey Levine
OffRL
37
96
0
17 Feb 2022
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent
  Dynamics from Volumetric Video
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Jinseok Bae
Hojun Jang
Cheol-Hui Min
H. Choi
Y. Kim
29
5
0
17 Feb 2022
Learning to Generalize across Domains on Single Test Samples
Learning to Generalize across Domains on Single Test Samples
Zehao Xiao
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
OOD
26
31
0
16 Feb 2022
Automating the Learning of Inverse Kinematics for Robotic Arms with
  Redundant DoFs
Automating the Learning of Inverse Kinematics for Robotic Arms with Redundant DoFs
Chih-Kai Ho
C. King
16
6
0
16 Feb 2022
Discriminability-enforcing loss to improve representation learning
Discriminability-enforcing loss to improve representation learning
Florinel-Alin Croitoru
Diana-Nicoleta Grigore
Radu Tudor Ionescu
FaML
27
1
0
14 Feb 2022
A Group-Equivariant Autoencoder for Identifying Spontaneously Broken
  Symmetries
A Group-Equivariant Autoencoder for Identifying Spontaneously Broken Symmetries
Devanshu Agrawal
A. Del Maestro
Steven Johnston
James Ostrowski
DRL
AI4CE
44
2
0
13 Feb 2022
Supported Policy Optimization for Offline Reinforcement Learning
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu
Haixu Wu
Zihan Qiu
Jianmin Wang
Mingsheng Long
OffRL
40
66
0
13 Feb 2022
Compute Trends Across Three Eras of Machine Learning
Compute Trends Across Three Eras of Machine Learning
J. Sevilla
Lennart Heim
A. Ho
T. Besiroglu
Marius Hobbhahn
Pablo Villalobos
46
273
0
11 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through
  Sample Quality
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality
Daniel Watson
William Chan
Jonathan Ho
Mohammad Norouzi
DiffM
BDL
46
180
0
11 Feb 2022
Abstraction for Deep Reinforcement Learning
Abstraction for Deep Reinforcement Learning
Murray Shanahan
Melanie Mitchell
OffRL
35
28
0
10 Feb 2022
Deep Learning for Computational Cytology: A Survey
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi Lin
R. Chan
Jiangshu Liu
Hao Chen
47
76
0
10 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill
  Acquisition
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition
Dylan Slack
Yinlam Chow
Bo Dai
Nevan Wichers
OffRL
64
7
0
10 Feb 2022
Bayesian Nonparametrics for Offline Skill Discovery
Bayesian Nonparametrics for Offline Skill Discovery
Valentin Villecroze
H. Braviner
Panteha Naderian
Chris J. Maddison
Gabriel Loaiza-Ganem
BDL
OffRL
37
8
0
09 Feb 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model
  Representations
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Yu Meng
Yunyi Zhang
Jiaxin Huang
Yu Zhang
Jiawei Han
58
58
0
09 Feb 2022
Model Architecture Adaption for Bayesian Neural Networks
Model Architecture Adaption for Bayesian Neural Networks
Duo Wang
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
UQCV
OOD
BDL
31
0
0
09 Feb 2022
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network
Yoshiaki Kawase
K. Mitarai
Keisuke Fujii
30
5
0
09 Feb 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
41
175
0
08 Feb 2022
Detecting Anomalies within Time Series using Local Neural
  Transformations
Detecting Anomalies within Time Series using Local Neural Transformations
Tim Schneider
Chen Qiu
Marius Kloft
Decky Aspandi Latif
Steffen Staab
Stephan Mandt
Maja R. Rudolph
AI4TS
45
18
0
08 Feb 2022
Deep learning for drug repurposing: methods, databases, and applications
Deep learning for drug repurposing: methods, databases, and applications
Xiao Pan
Xuan Lin
Dongsheng Cao
Xiangxiang Zeng
Philip S. Yu
Lifang He
R. Nussinov
F. Cheng
33
127
0
08 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
50
387
0
07 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
48
4
0
04 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A
  Methodological Perspective
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Yue Liu
Ding Zhao
37
148
0
04 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
41
3
0
04 Feb 2022
Transport Score Climbing: Variational Inference Using Forward KL and
  Adaptive Neural Transport
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang
David M. Blei
C. A. Naesseth
35
6
0
03 Feb 2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data
  for Cancer Type Classification
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
S. Hashim
Muhammad Ali
Karthik Nandakumar
Mohammad Yaqub
24
3
0
03 Feb 2022
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Katie Z Luo
Guandao Yang
Wenqi Xian
Harald Haraldsson
B. Hariharan
Serge Belongie
DiffM
36
5
0
01 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via
  Disentanglement
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
Xiaoting Shao
Karl Stelzner
Kristian Kersting
CML
DRL
54
3
0
01 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
82
44
0
01 Feb 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact
  Context-encoding Variational Autoencoder
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder
S. Chatterjee
Alessandro Sciarra
M. Dünnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
S. Oeltze-Jafra
Oliver Speck
A. Nürnberger
DRL
55
16
0
31 Jan 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention
  Mechanism
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao
Miaoyuan Liu
Pan Li
29
198
0
31 Jan 2022
GenMod: A generative modeling approach for spectral representation of
  PDEs with random inputs
GenMod: A generative modeling approach for spectral representation of PDEs with random inputs
Jacqueline Wentz
Alireza Doostan
29
1
0
31 Jan 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error:
  An Enhanced Bayesian Upper Confidence Bound Framework
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang
Henry Lam
A. Meisami
Haofeng Zhang
55
4
0
31 Jan 2022
A Stochastic Bundle Method for Interpolating Networks
A Stochastic Bundle Method for Interpolating Networks
Alasdair Paren
Leonard Berrada
Rudra P. K. Poudel
M. P. Kumar
29
4
0
29 Jan 2022
Research on Patch Attentive Neural Process
Research on Patch Attentive Neural Process
Xiaohan Yu
Shao‐Chen Mao
19
1
0
29 Jan 2022
Posterior Matching for Arbitrary Conditioning
Posterior Matching for Arbitrary Conditioning
R. Strauss
Junier B. Oliva
CML
BDL
47
6
0
28 Jan 2022
ReGAE: Graph autoencoder based on recursive neural networks
ReGAE: Graph autoencoder based on recursive neural networks
Adam Malkowski
Jakub Grzechociñski
Pawel Wawrzyñski
GNN
35
0
0
28 Jan 2022
Closing the sim-to-real gap in guided wave damage detection with
  adversarial training of variational auto-encoders
Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders
Ishan D. Khurjekar
J. Harley
AAML
34
10
0
26 Jan 2022
Variational Model Inversion Attacks
Variational Model Inversion Attacks
Kuan-Chieh Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
30
95
0
26 Jan 2022
Conditional entropy minimization principle for learning domain invariant
  representation features
Conditional entropy minimization principle for learning domain invariant representation features
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
39
7
0
25 Jan 2022
Rayleigh EigenDirections (REDs): GAN latent space traversals for
  multidimensional features
Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features
Guha Balakrishnan
Raghudeep Gadde
Aleix M. Martinez
Pietro Perona
49
3
0
25 Jan 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction
Unboxing the graph: Neural Relational Inference for Mobility Prediction
M. Tygesen
Francisco Câmara Pereira
Filipe Rodrigues
AI4TS
25
2
0
25 Jan 2022
Neural Information Squeezer for Causal Emergence
Neural Information Squeezer for Causal Emergence
Jiang Zhang
Kaiwei Liu
CML
30
14
0
25 Jan 2022
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet
  Loss for Writer Independent Offline Signature Verification
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay
Siladittya Manna
Saumik Bhattacharya
Umapada Pal
33
23
0
25 Jan 2022
Variational Autoencoders for Reliability Optimization in Multi-Access
  Edge Computing Networks
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks
Arian Ahmadi
Omid Semiari
M. Bennis
Merouane Debbah
36
2
0
25 Jan 2022
Generative Planning for Temporally Coordinated Exploration in
  Reinforcement Learning
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning
Haichao Zhang
Wei Xu
Haonan Yu
40
10
0
24 Jan 2022
Which Style Makes Me Attractive? Interpretable Control Discovery and
  Counterfactual Explanation on StyleGAN
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN
Yangqiu Song
Qiulin Wang
Jiquan Pei
Yu Yang
Xiangyang Ji
CVBM
37
3
0
24 Jan 2022
Disentangling Style and Speaker Attributes for TTS Style Transfer
Disentangling Style and Speaker Attributes for TTS Style Transfer
Xiaochun An
Frank Soong
Lei Xie
90
18
0
24 Jan 2022
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent
  Path Planning in Continuous Spaces
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Keisuke Okumura
Ryo Yonetani
Mai Nishimura
Asako Kanezaki
50
10
0
24 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
Ryan K. Tan
Yang Liu
Lei Xie
49
2
0
21 Jan 2022
Variational Autoencoder based Metamodeling for Multi-Objective Topology
  Optimization of Electrical Machines
Variational Autoencoder based Metamodeling for Multi-Objective Topology Optimization of Electrical Machines
Vivek Parekh
D. Flore
S. Schöps
AI4CE
22
11
0
21 Jan 2022
Previous
123...202122...727374
Next