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. 2002.07217
  4. Cited By
Decision-Making with Auto-Encoding Variational Bayes
v1v2v3 (latest)

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
    BDL
ArXiv (abs)PDFHTML

Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

50 / 3,760 papers shown
Title
Inf2Guard: An Information-Theoretic Framework for Learning
  Privacy-Preserving Representations against Inference Attacks
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
Sayedeh Leila Noorbakhsh
Binghui Zhang
Yuan Hong
Binghui Wang
AAML
105
10
0
04 Mar 2024
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal
  Conversational Emotion Detection
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
Jiamin Luo
Jingjing Wang
Guodong Zhou
68
1
0
04 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
168
25
0
01 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
100
10
0
29 Feb 2024
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
75
3
0
29 Feb 2024
FineDiffusion: Scaling up Diffusion Models for Fine-grained Image
  Generation with 10,000 Classes
FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10,000 Classes
Ziying Pan
Kun Wang
Gang Li
Feihong He
Yongxuan Lai
92
1
0
28 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
284
22
0
28 Feb 2024
Accelerating Diffusion Sampling with Optimized Time Steps
Accelerating Diffusion Sampling with Optimized Time Steps
Shuchen Xue
Zhaoqiang Liu
Fei Chen
Shifeng Zhang
Tianyang Hu
Enze Xie
Zhenguo Li
DiffM
143
29
0
27 Feb 2024
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic
  Image Synthesis and Comparison in OCR System
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari
Khaled R. Ahmed
Shahram Rahimi
Noorbakhsh Amiri Golilarz
EGVM
77
1
0
27 Feb 2024
Diffusion Model-Based Image Editing: A Survey
Diffusion Model-Based Image Editing: A Survey
Yi Huang
Jiancheng Huang
Yifan Liu
Mingfu Yan
Jiaxi Lv
Jianzhuang Liu
Wei Xiong
He Zhang
Liangliang Cao
Liangliang Cao
EGVM
243
103
0
27 Feb 2024
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal
  Connectivity
A VAE-based Framework for Learning Multi-Level Neural Granger-Causal Connectivity
Jiahe Lin
Huitian Lei
G. Michailidis
CML
113
0
0
25 Feb 2024
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural
  Language Generations
CEV-LM: Controlled Edit Vector Language Model for Shaping Natural Language Generations
Samraj Moorjani
A. Krishnan
Hari Sundaram
KELM
74
1
0
22 Feb 2024
Generative Kaleidoscopic Networks
Generative Kaleidoscopic Networks
H. Shrivastava
62
0
0
19 Feb 2024
Variational Entropy Search for Adjusting Expected Improvement
Variational Entropy Search for Adjusting Expected Improvement
Nuojin Cheng
Stephen Becker
84
1
0
17 Feb 2024
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Mapping the Ethics of Generative AI: A Comprehensive Scoping Review
Thilo Hagendorff
93
52
0
13 Feb 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
Sean Jaffe
A. Davydov
Deniz Lapsekili
Ambuj K. Singh
Francesco Bullo
72
2
0
12 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Vijaya Krishna Yalavarthi
Randolf Scholz
Stefan Born
Lars Schmidt-Thieme
AI4TS
146
0
0
09 Feb 2024
DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion
  Transformer
DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer
Zhiyuan Ma
Xiangyu Zhu
Guojun Qi
Chen Qian
Zhaoxiang Zhang
Zhen Lei
64
10
0
08 Feb 2024
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning
Ruoqing Zhang
Ziwei Luo
Jens Sjölund
Thomas B. Schön
Per Mattsson
99
13
0
06 Feb 2024
The VampPrior Mixture Model
The VampPrior Mixture Model
Andrew Stirn
David A. Knowles
BDL
88
1
0
06 Feb 2024
Denoising Diffusion via Image-Based Rendering
Denoising Diffusion via Image-Based Rendering
Titas Anciukevicius
Fabian Manhardt
Federico Tombari
Paul Henderson
138
13
0
05 Feb 2024
Discovering interpretable models of scientific image data with deep
  learning
Discovering interpretable models of scientific image data with deep learning
Christopher J. Soelistyo
Alan R. Lowe
63
6
0
05 Feb 2024
InVA: Integrative Variational Autoencoder for Harmonization of
  Multi-modal Neuroimaging Data
InVA: Integrative Variational Autoencoder for Harmonization of Multi-modal Neuroimaging Data
Bowen Lei
Rajarshi Guhaniyogi
Krishnendu Chandra
Aaron Scheffler
Bani Mallick
41
0
0
05 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
Antoine Godichon-Baggioni
Adeline Fermanian
Sylvain Le Corff
109
2
0
05 Feb 2024
AI Art Neural Constellation: Revealing the Collective and Contrastive
  State of AI-Generated and Human Art
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art
Faizan Farooq Khan
Diana Kim
Divyansh Jha
Youssef Mohamed
Hanna Chang
Ahmed Elgammal
Luba Elliott
Mohamed Elhoseiny
60
4
0
04 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
103
11
0
04 Feb 2024
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Lianhao Yin
Yutong Ban
J. Eckhoff
O. Meireles
Daniela Rus
Guy Rosman
119
3
0
03 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization
  and Generalization
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
DiffM
138
16
0
28 Jan 2024
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Xinlei Chen
Zhuang Liu
Saining Xie
Kaiming He
DiffM
88
60
0
25 Jan 2024
Bayesian adaptive learning to latent variables via Variational Bayes and
  Maximum a Posteriori
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori
Hu Hu
Sabato Marco Siniscalchi
Chin-Hui Lee
BDL
49
1
0
24 Jan 2024
FLLIC: Functionally Lossless Image Compression
FLLIC: Functionally Lossless Image Compression
Xi Zhang
Xiaolin Wu
154
0
0
24 Jan 2024
Unsupervised Learning of Graph from Recipes
Unsupervised Learning of Graph from Recipes
Aissatou Diallo
Antonis Bikakis
Luke Dickens
Anthony Hunter
Rob Miller
SSL
58
0
0
22 Jan 2024
Text-to-Image Cross-Modal Generation: A Systematic Review
Text-to-Image Cross-Modal Generation: A Systematic Review
Maciej Żelaszczyk
Jacek Mańdziuk
93
4
0
21 Jan 2024
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated
  Sequence and Structure-Based Peptide Encoding
PepHarmony: A Multi-View Contrastive Learning Framework for Integrated Sequence and Structure-Based Peptide Encoding
Ruochi Zhang
Haoran Wu
Chang Liu
Hua-Wang Li
Yuqian Wu
...
Yifan Wang
Yifan Deng
Jiahui Chen
Fengfeng Zhou
Xin Gao
AI4TS
79
2
0
21 Jan 2024
Document Set Expansion with Positive-Unlabeled Learning: A Density
  Estimation-based Approach
Document Set Expansion with Positive-Unlabeled Learning: A Density Estimation-based Approach
Haiyang Zhang
Qiuyi Chen
Yuanjie Zou
Yushan Pan
Jia Wang
Mark Stevenson
56
0
0
20 Jan 2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention
  and Object-wise Sequential VAE
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
Haonan Yu
Wei Xu
ViT
78
1
0
20 Jan 2024
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via
  Transformer-Based 360 Image Outpainting
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360 Image Outpainting
Hao Ai
Zidong Cao
H. Lu
Chen Chen
Jiancang Ma
Pengyuan Zhou
Tae-Kyun Kim
Pan Hui
Lin Wang
86
5
0
19 Jan 2024
Explicitly Disentangled Representations in Object-Centric Learning
Explicitly Disentangled Representations in Object-Centric Learning
Riccardo Majellaro
Jonathan Collu
Aske Plaat
Thomas M. Moerland
CoGeOODOCL
164
1
0
18 Jan 2024
Continuous Piecewise-Affine Based Motion Model for Image Animation
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang
Fengqi Liu
Qianyu Zhou
Ran Yi
Xin Tan
Lizhuang Ma
VGen
68
10
0
17 Jan 2024
A New Creative Generation Pipeline for Click-Through Rate with Stable
  Diffusion Model
A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model
Hao Yang
Jianxin Yuan
Shuai Yang
Linhe Xu
Shuo Yuan
Yifan Zeng
81
11
0
17 Jan 2024
Identifying Three-Dimensional Radiative Patterns Associated with Early
  Tropical Cyclone Intensification
Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification
Frederick Iat-Hin Tam
Tom Beucler
James H. Ruppert
13
1
0
17 Jan 2024
Stochasticity-aware No-Reference Point Cloud Quality Assessment
Stochasticity-aware No-Reference Point Cloud Quality Assessment
S. Fan
Zixuan Guo
Wei-Nan Gao
Ge Li
Guoqing Liu
Qicheng Wang
3DPC
80
0
0
17 Jan 2024
Robust Anomaly Detection for Particle Physics Using Multi-Background
  Representation Learning
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning
A. Gandrakota
Lily H. Zhang
A. Puli
K. Cranmer
J. Ngadiuba
Rajesh Ranganath
Nhan Tran
OOD
60
2
0
16 Jan 2024
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning
Generative AI for O-RAN Slicing: A Semi-Supervised Approach with VAE and Contrastive Learning
Salar Nouri Naghadeh
Mojdeh Karbalaee Motalleb
V. Shah-Mansouri
Seyed Pooya Shariatpanahi
66
4
0
16 Jan 2024
How does self-supervised pretraining improve robustness against noisy
  labels across various medical image classification datasets?
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
48
1
0
15 Jan 2024
Towards Efficient Diffusion-Based Image Editing with Instant Attention
  Masks
Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks
Siyu Zou
Jiji Tang
Yiyi Zhou
Jing He
Chaoyi Zhao
Rongsheng Zhang
Zhipeng Hu
Xiaoshuai Sun
111
11
0
15 Jan 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
161
1
0
15 Jan 2024
360DVD: Controllable Panorama Video Generation with 360-Degree Video
  Diffusion Model
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
Qian Wang
Weiqi Li
Chong Mou
Xinhua Cheng
Jian Zhang
VGen
107
20
0
12 Jan 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
End-to-end Learnable Clustering for Intent Learning in Recommendation
Yue Liu
Shihao Zhu
Jun Xia
Yingwei Ma
Jian Ma
Wenliang Zhong
Xinwang Liu
Guannan Zhang
Kejun Zhang
112
11
0
11 Jan 2024
Do Vision and Language Encoders Represent the World Similarly?
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil
Raiymbek Akshulakov
Y. A. D. Djilali
Sanath Narayan
M. Seddik
K. Mangalam
Noel E. O'Connor
VLM
89
14
0
10 Jan 2024
Previous
123...202122...747576
Next