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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 / 3,768 papers shown
Title
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Ilia Azizi
M. Boldi
V. Chavez-Demoulin
146
0
0
28 May 2024
Efficient Prior Calibration From Indirect Data
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
Mark Girolami
Andrew M. Stuart
Arnaud Vadeboncoeur
100
2
0
28 May 2024
Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
163
103
0
27 May 2024
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for
  Controllable Language Generation
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
Chengxing Jia
Pengyuan Wang
Ziniu Li
Yi-Chen Li
Zhilong Zhang
Nan Tang
Yang Yu
OffRL
64
2
0
27 May 2024
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework
  to Improve GAN-based Tabular Data Synthesis
A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis
Minh H. Vu
Daniel Edler
C. Wibom
Tommy Löfstedt
Beatrice Melin
M. Rosvall
57
2
0
27 May 2024
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
Jiannan Huang
Jun Hao Liew
Hanshu Yan
Yuyang Yin
Yao Zhao
Yunchao Wei
Yunchao Wei
DiffM
207
7
0
27 May 2024
Ensembling Diffusion Models via Adaptive Feature Aggregation
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang
Kuan Tian
Yonghang Guan
Jun Zhang
Zhiwei Jiang
Fei Shen
Xiao Han
127
6
0
27 May 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
Kai Wang
Yukun Zhou
Mingjia Shi
Zhihang Yuan
Yuzhang Shang
Yuzhang Shang
Hanwang Zhang
Hanwang Zhang
Yang You
149
14
0
27 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
Yeongmin Kim
Kwanghyeon Lee
Minsang Park
Byeonghu Na
Il-Chul Moon
DiffM
129
2
0
27 May 2024
Variational Offline Multi-agent Skill Discovery
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
126
3
0
26 May 2024
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu
Chan-Hung Yu
Wei-Hsu Lee
Cheng-Wei Hung
Yen-Chun Chen
Shao-Hua Sun
143
5
0
26 May 2024
Towards Black-Box Membership Inference Attack for Diffusion Models
Towards Black-Box Membership Inference Attack for Diffusion Models
Jingwei Li
Jingyi Dong
Tianxing He
Jingzhao Zhang
93
5
0
25 May 2024
Challenges and Opportunities in 3D Content Generation
Challenges and Opportunities in 3D Content Generation
Ke Zhao
Andreas Larsen
106
0
0
24 May 2024
Spectraformer: A Unified Random Feature Framework for Transformer
Spectraformer: A Unified Random Feature Framework for Transformer
Duke Nguyen
Du Yin
Aditya Joshi
Flora D. Salim
67
1
0
24 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models
Learning Invariant Causal Mechanism from Vision-Language Models
Changwen Zheng
Siyu Zhao
Xingyu Zhang
Jiangmeng Li
Changwen Zheng
Jingyao Wang
CMLBDLVLM
123
0
0
24 May 2024
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
Seyedmorteza Sadat
Jakob Buhmann
Derek Bradley
Otmar Hilliges
Romann M. Weber
150
9
0
23 May 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Katherine Xu
Lingzhi Zhang
Jianbo Shi
146
17
0
23 May 2024
Cascade of phase transitions in the training of Energy-based models
Cascade of phase transitions in the training of Energy-based models
Dimitrios Bachtis
Giulio Biroli
A. Decelle
Beatriz Seoane
93
5
0
23 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
Wei Emma Zhang
Weitong Chen
Xin Chen
MedImViT
110
2
0
21 May 2024
EmoEdit: Evoking Emotions through Image Manipulation
EmoEdit: Evoking Emotions through Image Manipulation
Jingyuan Yang
Jiawei Feng
Weibin Luo
Dani Lischinski
Daniel Cohen-Or
Hui Huang
DiffM
82
2
0
21 May 2024
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
Rumor Detection on Social Media with Reinforcement Learning-based Key Propagation Graph Generator
Yusong Zhang
Kun Xie
Xingyi Zhang
Xiangyu Dong
Sibo Wang
66
0
0
21 May 2024
Accelerating Relative Entropy Coding with Space Partitioning
Accelerating Relative Entropy Coding with Space Partitioning
Jiajun He
Gergely Flamich
José Miguel Hernández-Lobato
56
1
0
20 May 2024
Reinforcement learning
Reinforcement learning
Florentin Wörgötter
91
2,528
0
16 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection
Feng Wang
Chengming Liu
Lei Shi
Haibo Pang
83
2
0
16 May 2024
DGCformer: Deep Graph Clustering Transformer for Multivariate Time
  Series Forecasting
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting
Qinshuo Liu
Yanwen Fang
Pengtao Jiang
Guodong Li
AI4TS
44
0
0
14 May 2024
Lumina-T2X: Transforming Text into Any Modality, Resolution, and
  Duration via Flow-based Large Diffusion Transformers
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
Peng Gao
Le Zhuo
Ziyi Lin
Ruoyi Du
Xu Luo
...
Weicai Ye
He Tong
Jingwen He
Yu Qiao
Hongsheng Li
VGen
86
91
0
09 May 2024
Deep learning-based variational autoencoder for classification of
  quantum and classical states of light
Deep learning-based variational autoencoder for classification of quantum and classical states of light
Mahesh Bhupati
Abhishek Mall
Anshuman Kumar
Pankaj K. Jha
DRLBDL
21
1
0
08 May 2024
A Review on Fragment-based De Novo 2D Molecule Generation
A Review on Fragment-based De Novo 2D Molecule Generation
Sergei Voloboev
VLM
63
2
0
08 May 2024
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning
  via Causal Normalizing Flows
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
Minjae Cho
Jonathan P. How
Chuangchuang Sun
OODDOffRL
100
1
0
06 May 2024
SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
Ziyun Qian
Zeyu Xiao
Zhenyi Wu
Dingkang Yang
Mingcheng Li
Shunli Wang
Shuai Wang
Dongliang Kou
Lihua Zhang
79
0
0
05 May 2024
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for
  Anomaly Detection
Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
Canhui Tang
Sanpin Zhou
Yizhe Li
Yonghao Dong
Le Wang
63
0
0
03 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational
  Autoencoders
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
Yi Yu
Yufei Wang
Song Xia
Wenhan Yang
Shijian Lu
Yap-Peng Tan
A.C. Kot
AAML
102
14
0
02 May 2024
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
J. L. Pontón
Eduard Pujol
A. Aristidou
Carlos Andújar
N. Pelechano
102
1
0
29 Apr 2024
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
Geert De Paepe
Lesley De Cruz
104
1
0
28 Apr 2024
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
Haoyu Wang
Zhilu Zhang
Donglin Di
Shiliang Zhang
Wangmeng Zuo
DiffM
111
8
0
26 Apr 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
125
4
0
25 Apr 2024
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI
Yiming Che
Fazle Rafsani
Jay Shah
M. R. Siddiquee
Teresa Wu
MedImDiffM
92
2
0
24 Apr 2024
Variational Deep Survival Machines: Survival Regression with Censored
  Outcomes
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
Qinxin Wang
Jiayuan Huang
Junhui Li
Jiaming Liu
DRLCML
87
0
0
24 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging
  Perturbations That Efficiently Fool Customized Diffusion Models
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
Jingyao Xu
Yuetong Lu
Yandong Li
Siyang Lu
Dongdong Wang
Xiang Wei
AAMLDiffM
77
11
0
23 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey
Uncertainty Quantification on Graph Learning: A Survey
Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
AI4CE
86
1
0
23 Apr 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Alexander Shmakov
Kevin Greif
M. Fenton
A. Ghosh
Pierre Baldi
D. Whiteson
DiffM
210
10
0
22 Apr 2024
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation
Haoyu Zheng
Wenqiao Zhang
Yaoke Wang
Hao Zhou
Jiang Liu
Juncheng Li
Zheqi Lv
Siliang Tang
Yueting Zhuang
Yueting Zhuang
138
2
0
21 Apr 2024
Learn2Talk: 3D Talking Face Learns from 2D Talking Face
Learn2Talk: 3D Talking Face Learns from 2D Talking Face
Yixiang Zhuang
Baoping Cheng
Yao Cheng
Yuntao Jin
Renshuai Liu
Chengyang Li
Xuan Cheng
Jing Liao
Juncong Lin
CVBM3DH
94
7
0
19 Apr 2024
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained
  Embeddings for Unpaired Frozen Section to FFPE Translation
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
M. M. Ho
Shikha Dubey
Yosep Chong
Beatrice Knudsen
Tolga Tasdizen
MedImAI4CE
86
5
0
19 Apr 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
Grigory Bartosh
Dmitry Vetrov
C. A. Naesseth
DiffM
133
16
0
19 Apr 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
143
7
0
18 Apr 2024
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery
Payal Varshney
Adriano Lucieri
Christoph Balada
Andreas Dengel
Sheraz Ahmed
MedImDiffM
118
4
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16 Apr 2024
CanvasPic: An Interactive Tool for Freely Generating Facial Images Based
  on Spatial Layout
CanvasPic: An Interactive Tool for Freely Generating Facial Images Based on Spatial Layout
Jiafu Wei
Chia-Ming Chang
Xi Yang
Takeo Igarashi
74
0
0
16 Apr 2024
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem
Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem
Roumen Nikolaev Popov
96
0
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EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for
  Real-Time On-Device Video Portrait Relighting
EdgeRelight360: Text-Conditioned 360-Degree HDR Image Generation for Real-Time On-Device Video Portrait Relighting
Chia-Chen Lin
Mahesh Reddy
Guillaume Berger
Michel Sarkis
Fatih Porikli
Ning Bi
63
3
0
15 Apr 2024
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