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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 / 3,707 papers shown
Title
Bi-Level Optimization Augmented with Conditional Variational Autoencoder
  for Autonomous Driving in Dense Traffic
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic
Ashutosh Kumar Singh
Jatan Shrestha
Nicola Albarella
DRL
60
7
0
05 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based
  Vision: A Theoretical Analysis from the Perspective of Information
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information
Xudong Kang
H. Xie
Man-Leung Wong
J. Qin
77
0
0
05 Dec 2022
Exploring Stroke-Level Modifications for Scene Text Editing
Exploring Stroke-Level Modifications for Scene Text Editing
Yadong Qu
Qingfeng Tan
Hongtao Xie
Jianjun Xu
Yuxin Wang
Yongdong Zhang
DiffM
69
34
0
05 Dec 2022
Interpretable Node Representation with Attribute Decoding
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen
Xi Chen
Liping Liu
70
4
0
03 Dec 2022
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation
  via Hybrid Latent Variables
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Bin Sun
Yitong Li
Fei Mi
Weichao Wang
Yiwei Li
Kan Li
BDL
58
6
0
02 Dec 2022
Improved Representation Learning Through Tensorized Autoencoders
Improved Representation Learning Through Tensorized Autoencoders
Pascal Esser
Satyaki Mukherjee
Mahalakshmi Sabanayagam
Debarghya Ghoshdastidar
SSLGNNOODDRL
77
0
0
02 Dec 2022
Improving Training and Inference of Face Recognition Models via Random
  Temperature Scaling
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Lei Shang
Mou-Yue Huang
Wuxuan Shi
Yuchen Liu
Yang Liu
Fei Wang
Baigui Sun
Xuansong Xie
Yu Qiao
UQCV
76
8
0
02 Dec 2022
High-dimensional density estimation with tensorizing flow
High-dimensional density estimation with tensorizing flow
Yinuo Ren
Hongli Zhao
Y. Khoo
Lexing Ying
43
9
0
01 Dec 2022
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and
  Animation
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Ziyan Wang
Giljoo Nam
Tuur Stuyck
Stephen Lombardi
Chen Cao
Jason M. Saragih
Michael Zollhoefer
Jessica Hodgins
Christoph Lassner
3DH
88
21
0
01 Dec 2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation
  Guided Conditional Variational Auto-Encoder
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
Bin Sun
Shaoxiong Feng
Yiwei Li
Weichao Wang
Fei Mi
Yitong Li
Kan Li
63
1
0
01 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Tingyang Xu
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
119
13
0
30 Nov 2022
Stochastic Parameterization of Column Physics using Generative
  Adversarial Networks
Stochastic Parameterization of Column Physics using Generative Adversarial Networks
Balasubramanya T. Nadiga
Xiaoming Sun
Cody Nash
GAN
46
8
0
30 Nov 2022
Approximating Intersections and Differences Between Linear Statistical
  Shape Models Using Markov Chain Monte Carlo
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
Maximilian Weiherer
Finn Klein
Bernhard Egger
53
2
0
29 Nov 2022
Behavior Estimation from Multi-Source Data for Offline Reinforcement
  Learning
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
Guoxi Zhang
H. Kashima
OffRL
64
2
0
29 Nov 2022
AirFormer: Predicting Nationwide Air Quality in China with Transformers
AirFormer: Predicting Nationwide Air Quality in China with Transformers
Yuxuan Liang
Yutong Xia
Songyu Ke
Yiwei Wang
Qingsong Wen
Junbo Zhang
Yu Zheng
Roger Zimmermann
AI4TSAI4CE
69
117
0
29 Nov 2022
Continuous Episodic Control
Continuous Episodic Control
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
OffRL
45
3
0
28 Nov 2022
3inGAN: Learning a 3D Generative Model from Images of a Self-similar
  Scene
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene
Animesh Karnewar
Oliver Wang
Tobias Ritschel
Niloy Mitra
76
12
0
27 Nov 2022
Neural Font Rendering
Neural Font Rendering
Daniel Anderson
Ariel Shamir
Ohad Fried
GANAI4CE
44
1
0
27 Nov 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffMAI4CE
94
148
0
26 Nov 2022
Distribution Free Prediction Sets for Node Classification
Distribution Free Prediction Sets for Node Classification
J. Clarkson
AI4CE
113
25
0
26 Nov 2022
Mixture Manifold Networks: A Computationally Efficient Baseline for
  Inverse Modeling
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
Gregory P. Spell
Simiao Ren
L. Collins
Jordan M. Malof
26
1
0
25 Nov 2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly
  Detection
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Tianpeng Bao
Jiadong Chen
Wei Li
Xiang Wang
Jingjing Fei
Liwei Wu
Rui Zhao
Ye Zheng
141
22
0
25 Nov 2022
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
Bing Guan
Cailian Yang
Liu Zhang
S. Niu
Minghui Zhang
Yuhao Wang
Weiwen Wu
Qiegen Liu
DiffMMedIm
79
44
0
25 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong
Jiaming Cui
Yuchen Zhuang
Rui Feng
B. Prakash
Chao Zhang
46
17
0
25 Nov 2022
Copula Density Neural Estimation
Copula Density Neural Estimation
N. A. Letizia
Andrea M. Tonello
80
7
0
25 Nov 2022
Generative Joint Source-Channel Coding for Semantic Image Transmission
Generative Joint Source-Channel Coding for Semantic Image Transmission
Ece Naz Erdemir
Tze-Yang Tung
Pier Luigi Dragotti
Deniz Gunduz
GAN
98
84
0
24 Nov 2022
Diffusion-SDF: Conditional Generative Modeling of Signed Distance
  Functions
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions
Gene Chou
Yuval Bahat
Felix Heide
DiffM
113
119
0
24 Nov 2022
Choreographer: Learning and Adapting Skills in Imagination
Choreographer: Learning and Adapting Skills in Imagination
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
Alexandre Lacoste
Sai Rajeswar
119
25
0
23 Nov 2022
Robustness Analysis of Deep Learning Models for Population Synthesis
Robustness Analysis of Deep Learning Models for Population Synthesis
D. Mensah
Godwin Badu-Marfo
Bilal Farooq
63
1
0
23 Nov 2022
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous
  Words in Superposition
Schrödinger's Bat: Diffusion Models Sometimes Generate Polysemous Words in Superposition
Jennifer C. White
Ryan Cotterell
DiffM
65
5
0
23 Nov 2022
Sparse Probabilistic Circuits via Pruning and Growing
Sparse Probabilistic Circuits via Pruning and Growing
Meihua Dang
Hoang Trung-Dung
Guy Van den Broeck
TPM
92
17
0
22 Nov 2022
Person Image Synthesis via Denoising Diffusion Model
Person Image Synthesis via Denoising Diffusion Model
A. Bhunia
Salman Khan
Hisham Cholakkal
Rao Muhammad Anwer
Jorma T. Laaksonen
M. Shah
Fahad Shahbaz Khan
DiffM
79
110
0
22 Nov 2022
On the Transferability of Visual Features in Generalized Zero-Shot
  Learning
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Paola Cascante-Bonilla
Leonid Karlinsky
James Smith
Yanjun Qi
Vicente Ordonez
60
2
0
22 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with
  Unsupervised Threshold
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Matías Tailanián
Álvaro Pardo
Pablo Musé
85
22
0
22 Nov 2022
Disentangled Representation Learning
Disentangled Representation Learning
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
162
87
0
21 Nov 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
84
18
0
21 Nov 2022
Compositional Scene Modeling with Global Object-Centric Representations
Compositional Scene Modeling with Global Object-Centric Representations
Tonglin Chen
Bin Li
Zhimeng Shen
Xiangyang Xue
OCL
74
2
0
21 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems
Xiangming Meng
Y. Kabashima
DiffM
134
54
0
20 Nov 2022
CNeRV: Content-adaptive Neural Representation for Visual Data
CNeRV: Content-adaptive Neural Representation for Visual Data
Hao Chen
M. Gwilliam
Bo He
Ser-Nam Lim
Abhinav Shrivastava
67
30
1
18 Nov 2022
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text
  Images
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
Theophil Trippe
Martin Genzel
Jan Macdonald
M. März
85
1
0
18 Nov 2022
Confounder Balancing for Instrumental Variable Regression with Latent
  Variable
Confounder Balancing for Instrumental Variable Regression with Latent Variable
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Bo Li
Leilei Gan
CML
81
0
0
18 Nov 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
InstructPix2Pix: Learning to Follow Image Editing Instructions
Tim Brooks
Aleksander Holynski
Alexei A. Efros
DiffM
215
1,839
0
17 Nov 2022
Predicting Human Mobility via Self-supervised Disentanglement Learning
Predicting Human Mobility via Self-supervised Disentanglement Learning
Qiang Gao
Jinyung Hong
Xovee Xu
Ping Kuang
Fan Zhou
Goce Trajcevski
53
12
0
17 Nov 2022
Neural Langevin Dynamics: towards interpretable Neural Stochastic
  Differential Equations
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations
Simon Koop
M. Peletier
J. Portegies
Vlado Menkovski
DiffM
58
1
0
17 Nov 2022
Deep Emotion Recognition in Textual Conversations: A Survey
Deep Emotion Recognition in Textual Conversations: A Survey
Patrícia Pereira
Helena Moniz
Joao Paulo Carvalho
91
18
0
16 Nov 2022
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method
  Using Variational Autoencoder and Adversarial Training
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training
Yang Xiang
Jesper Lisby Højvang
M. Rasmussen
M. G. Christensen
DRL
62
6
0
16 Nov 2022
New Frontiers in Graph Autoencoders: Joint Community Detection and Link
  Prediction
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
55
2
0
16 Nov 2022
Adapting to noise distribution shifts in flow-based gravitational-wave
  inference
Adapting to noise distribution shifts in flow-based gravitational-wave inference
J. Wildberger
Maximilian Dax
Stephen R. Green
J. Gair
M. Purrer
Jakob H. Macke
A. Buonanno
Bernhard Schölkopf
AI4CE
94
9
0
16 Nov 2022
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed
  Representations
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu
Xingxuan Li
Megh Thakkar
Xin Li
Shafiq Joty
Luo Si
Lidong Bing
84
2
0
16 Nov 2022
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
Yan Ju
Shan Jia
Jia Cai
Haiying Guan
Siwei Lyu
CVBM
114
27
0
16 Nov 2022
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