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 / 3,748 papers shown
Title
One-Line-of-Code Data Mollification Improves Optimization of
  Likelihood-based Generative Models
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
128
4
0
30 May 2023
A Federated Channel Modeling System using Generative Neural Networks
A Federated Channel Modeling System using Generative Neural Networks
S. Bano
P. Cassará
Nicola Tonellotto
A. Gotta
69
5
0
30 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for
  Reinforcement Learning
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
77
32
0
29 May 2023
Learning a Structural Causal Model for Intuition Reasoning in
  Conversation
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen
Bingyu Liao
Jing Luo
Wenjing Zhu
Xinyu Yang
LRM
119
13
0
28 May 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed
  Data
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
Youlong Ding
Xueyang Wu
Hongya Wang
Weike Pan
100
1
0
28 May 2023
Deep Variational Lesion-Deficit Mapping
Deep Variational Lesion-Deficit Mapping
Guilherme Pombo
Robert J. Gray
Amy Nelson
Chris Foulon
John Ashburner
P. Nachev
MedIm
43
1
0
27 May 2023
Toward Understanding Generative Data Augmentation
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
96
31
0
27 May 2023
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion
  Inference
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Zihao Yu
Haoyang Li
Fangcheng Fu
Xupeng Miao
Tengjiao Wang
DiffM
93
8
0
27 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILawSyDaELMAI4TS
112
155
0
27 May 2023
Kernel Density Matrices for Probabilistic Deep Learning
Kernel Density Matrices for Probabilistic Deep Learning
Fabio A. González
Raúl Ramos-Pollán
Joseph A. Gallego-Mejia
23
2
0
26 May 2023
Martian time-series unraveled: A multi-scale nested approach with
  factorial variational autoencoders
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders
Ali Siahkoohi
Rudy Morel
Randall Balestriero
Erwan Allys
G. Sainton
Taichi Kawamura
Maarten V. de Hoop
141
2
0
25 May 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
77
2
0
25 May 2023
On the Identifiability of Switching Dynamical Systems
On the Identifiability of Switching Dynamical Systems
Carles Balsells-Rodas
Yixin Wang
Yingzhen Li
141
5
0
25 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement
  via Contrastive Estimation
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilana D Naiman
Nimrod Berman
Omri Azencot
DRL
99
6
0
25 May 2023
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GANAI4CE
152
7
0
25 May 2023
Inverse Protein Folding Using Deep Bayesian Optimization
Inverse Protein Folding Using Deep Bayesian Optimization
Natalie Maus
Yimeng Zeng
Daniel A. Anderson
Phillip M. Maffettone
Aaron C. Solomon
Peyton Greenside
Osbert Bastani
Jacob R. Gardner
95
3
0
25 May 2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Task-aware Distributed Source Coding under Dynamic Bandwidth
Po-han Li
S. Ankireddy
Ruihan Zhao
Hossein Nourkhiz Mahjoub
Ehsan Moradi-Pari
Ufuk Topcu
Sandeep Chinchali
Hyeji Kim
92
10
0
24 May 2023
On the Convergence of Black-Box Variational Inference
On the Convergence of Black-Box Variational Inference
Kyurae Kim
Jisu Oh
Kaiwen Wu
Yi-An Ma
Jacob R. Gardner
BDL
94
17
0
24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for
  Variational Dialog Generation
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
73
1
0
24 May 2023
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
Tae-Jung Yeom
Minhyeok Lee
DiffM
52
7
0
24 May 2023
Leveraging Future Relationship Reasoning for Vehicle Trajectory
  Prediction
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park
Hobin Ryu
Yunseo Yang
Jegyeong Cho
Jiwon Kim
Kuk-Jin Yoon
77
59
0
24 May 2023
Revisit and Outstrip Entity Alignment: A Perspective of Generative
  Models
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Lingbing Guo
Zhuo Chen
Jiaoyan Chen
Yin Fang
Wen Zhang
Huajun Chen
68
9
0
24 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
71
6
0
23 May 2023
Variational Bayesian Framework for Advanced Image Generation with
  Domain-Related Variables
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Yuxiao Li
Santiago Mazuelas
Yuan-Chung Shen
BDL
65
0
0
23 May 2023
A New Comprehensive Benchmark for Semi-supervised Video Anomaly
  Detection and Anticipation
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
Congqi Cao
Yue Lu
Peng Wang
Yanning Zhang
106
41
0
23 May 2023
Road Planning for Slums via Deep Reinforcement Learning
Road Planning for Slums via Deep Reinforcement Learning
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
71
14
0
22 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen
Dipesh Tamboli
Tian-Shing Lan
Vaneet Aggarwal
85
12
0
22 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
115
4
0
21 May 2023
Towards Consistent Stochastic Human Motion Prediction via Motion
  Diffusion
Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun
Girish Chowdhary
DiffM
94
8
0
21 May 2023
Model Debiasing via Gradient-based Explanation on Representation
Model Debiasing via Gradient-based Explanation on Representation
Jindi Zhang
Luning Wang
Dan Su
Yongxiang Huang
Caleb Chen Cao
Lei Chen
FaMLCML
41
2
0
20 May 2023
Inventing art styles with no artistic training data
Inventing art styles with no artistic training data
Nilin Abrahamsen
Jiahao Yao
GAN
103
3
0
19 May 2023
Attributable and Scalable Opinion Summarization
Attributable and Scalable Opinion Summarization
Tom Hosking
Hao Tang
Mirella Lapata
71
9
0
19 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Yichen Zhu
Jian Yuan
Ziwei He
Tao R. Lin
Haiming Jin
Xinbing Wang
Cheng Zhou
OOD
25
1
0
18 May 2023
Utility Theory of Synthetic Data Generation
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
174
5
0
17 May 2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised
  Ultrasound Image Segmentation with Diffusion Model
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Fenghe Tang
Jianrui Ding
Lingtao Wang
Min Xian
C. Ning
DiffMMedIm
141
13
0
16 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jing Xiao
Leonie Basso
Wolfgang Nejdl
Niloy Ganguly
Sandipan Sikdar
AI4TS
58
4
0
11 May 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
117
44
0
11 May 2023
Analyzing Bias in Diffusion-based Face Generation Models
Analyzing Bias in Diffusion-based Face Generation Models
Malsha V. Perera
Vishal M. Patel
DiffM
73
41
0
10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
180
75
0
10 May 2023
LEO: Generative Latent Image Animator for Human Video Synthesis
LEO: Generative Latent Image Animator for Human Video Synthesis
Yaohui Wang
Xin Ma
Xinyuan Chen
A. Dantcheva
Bo Dai
Yu Qiao
DiffM
178
33
0
06 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
108
34
0
06 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech
  representation learning
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
96
13
0
05 May 2023
Are VAEs Bad at Reconstructing Molecular Graphs?
Are VAEs Bad at Reconstructing Molecular Graphs?
Hagen Muenkler
Hubert Misztela
Michał Pikusa
Marwin H. S. Segler
Nadine Schneider
Krzysztof Maziarz
DRL
53
2
0
04 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable
  Diffusion
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee
Benjamin Hoover
Hendrik Strobelt
Zijie J. Wang
Sheng-Hsuan Peng
Austin P. Wright
Kevin Wenliang Li
Haekyu Park
Haoyang Yang
Duen Horng Chau
67
23
0
04 May 2023
CCIL: Context-conditioned imitation learning for urban driving
CCIL: Context-conditioned imitation learning for urban driving
Ke Guo
Wei Jing
Junbo Chen
Jia Pan
101
10
0
04 May 2023
Shared Latent Space by Both Languages in Non-Autoregressive Neural
  Machine Translation
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
DongNyeong Heo
Heeyoul Choi
58
0
0
02 May 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification
  in full 3D medical data
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Christiaan Viviers
Amaan Valiuddin
Peter H. N. de With
Fons van der Sommen
86
5
0
01 May 2023
Students' Voices on Generative AI: Perceptions, Benefits, and Challenges
  in Higher Education
Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education
C. Chan
Wenjie Hu
107
748
0
29 Apr 2023
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive
  Transformers
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
Rong Wu
Wanchao Su
Kede Ma
Jing Liao
114
41
0
27 Apr 2023
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and
  Physical Phenomena
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena
Roy R. Lederman
B. Toader
DRL
56
4
0
27 Apr 2023
Previous
123...262728...737475
Next