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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 / 3,760 papers shown
Title
Learning Sequential Information in Task-based fMRI for Synthetic Data
  Augmentation
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation
Jiyao Wang
Nicha Dvornek
Lawrence H. Staib
James S. Duncan
MedIm
53
2
0
29 Aug 2023
Elucidating the Exposure Bias in Diffusion Models
Elucidating the Exposure Bias in Diffusion Models
Mang Ning
Mingxiao Li
Jianlin Su
A. A. Salah
Itir Onal Ertugrul
DiffM
263
38
0
29 Aug 2023
Reinforcement Learning for Generative AI: A Survey
Reinforcement Learning for Generative AI: A Survey
Yuanjiang Cao
Quan.Z Sheng
Julian McAuley
Lina Yao
SyDa
198
13
0
28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Jing Liu
266
31
0
27 Aug 2023
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Forough Fazeli Asl
M. Zhang
GAN
54
2
0
27 Aug 2023
Differentiable Weight Masks for Domain Transfer
Differentiable Weight Masks for Domain Transfer
Samarth Khanna
Skanda Vaidyanath
Akash Velu
66
1
0
26 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
131
0
0
26 Aug 2023
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage
  VAE
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE
Chenghui Zhou
Barnabás Póczós
66
2
0
24 Aug 2023
Sparks of Large Audio Models: A Survey and Outlook
Sparks of Large Audio Models: A Survey and Outlook
S. Latif
Moazzam Shoukat
Fahad Shamshad
Muhammad Usama
Yi Ren
...
Wenwu Wang
Xulong Zhang
Roberto Togneri
Min Zhang
Björn W. Schuller
LM&MAAuLLM
188
39
0
24 Aug 2023
Disentanglement Learning via Topology
Disentanglement Learning via Topology
Nikita Balabin
Daria Voronkova
I. Trofimov
Evgeny Burnaev
S. Barannikov
DRL
152
3
0
24 Aug 2023
Boosting Diffusion Models with an Adaptive Momentum Sampler
Boosting Diffusion Models with an Adaptive Momentum Sampler
Xiyu Wang
Anh-Dung Dinh
Daochang Liu
Chang Xu
90
5
0
23 Aug 2023
Backdooring Textual Inversion for Concept Censorship
Backdooring Textual Inversion for Concept Censorship
Yutong Wu
Jiehan Zhang
Florian Kerschbaum
Tianwei Zhang
DiffM
91
7
0
21 Aug 2023
Measuring the Effect of Causal Disentanglement on the Adversarial
  Robustness of Neural Network Models
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models
Preben Ness
D. Marijan
Sunanda Bose
CML
59
0
0
21 Aug 2023
Semi-Implicit Variational Inference via Score Matching
Semi-Implicit Variational Inference via Score Matching
Longlin Yu
Chuxu Zhang
75
17
0
19 Aug 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in
  Multi-Step Regression Stock Price Prediction
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Tat-Seng Chua
DiffM
55
25
0
18 Aug 2023
CTP:A Causal Interpretable Model for Non-Communicable Disease
  Progression Prediction
CTP:A Causal Interpretable Model for Non-Communicable Disease Progression Prediction
Zhoujian Sun
Wenzhuo Zhang
Zhengxing Huang
Nai Ding
Cheng Luo
CML
91
2
0
18 Aug 2023
Fast Inference and Update of Probabilistic Density Estimation on
  Trajectory Prediction
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
Takahiro Maeda
Norimichi Ukita
95
30
0
17 Aug 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
119
1
0
15 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images
  with Free Attention Masks
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
David Junhao Zhang
Mutian Xu
Chuhui Xue
Wenqing Zhang
Xiaoguang Han
Song Bai
Mike Zheng Shou
DiffM
131
6
0
13 Aug 2023
Hawkes Processes with Delayed Granger Causality
Hawkes Processes with Delayed Granger Causality
Chao Yang
Hengyuan Miao
Shuang Li
86
0
0
11 Aug 2023
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with
  Distinct Inlier Categories
Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories
M. Pérez-Carrasco
Guillermo Cabrera-Vives
Lorena Hernández-García
F. Förster
P. Sánchez-Sáez
...
N. Astorga
F. Bauer
A. Bayo
Martina Cádiz-Leyton
M. Catelán
17
2
0
09 Aug 2023
Evaluating the diversity and utility of materials proposed by generative
  models
Evaluating the diversity and utility of materials proposed by generative models
Alexander New
Michael Pekala
Elizabeth A. Pogue
Nam Q. Le
Janna Domenico
C. Piatko
Christopher D. Stiles
AI4CE
61
1
0
09 Aug 2023
Deep Learning-Based Prediction of Fractional Flow Reserve along the
  Coronary Artery
Deep Learning-Based Prediction of Fractional Flow Reserve along the Coronary Artery
Nils Hampe
S. V. Velzen
J. Aben
C. Collet
Ivana Išgum
MedIm
26
1
0
09 Aug 2023
Facial Prior Based First Order Motion Model for Micro-expression
  Generation
Facial Prior Based First Order Motion Model for Micro-expression Generation
Yi Zhang
Youjun Zhao
Yuhang Wen
Zixuan Tang
Xinhua Xu
Mengyuan Liu
VGen
44
10
0
08 Aug 2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from
  Optical Satellite Images
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images
Xuechao Zou
Keqin Li
Junliang Xing
Yu-an Zhang
Shiying Wang
Lei Jin
Pin Tao
DiffM
90
34
0
08 Aug 2023
Synthetic Augmentation with Large-scale Unconditional Pre-training
Synthetic Augmentation with Large-scale Unconditional Pre-training
Jiarong Ye
Haomiao Ni
Peng Jin
Sharon X. Huang
Yuan Xue
MedIm
61
22
0
08 Aug 2023
Kernel Single Proxy Control for Deterministic Confounding
Kernel Single Proxy Control for Deterministic Confounding
Liyuan Xu
Arthur Gretton
CML
76
3
0
08 Aug 2023
Amortized Global Search for Efficient Preliminary Trajectory Design with
  Deep Generative Models
Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Anjian Li
Amlan Sinha
Ryne T. Beeson
114
6
0
07 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
72
8
0
04 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
76
3
0
02 Aug 2023
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade
  Forests for Detecting GAN-generated Faces
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
Jiucui Lu
Jiaran Zhou
Junyu Dong
Bin Li
Siwei Lyu
Yuezun Li
CVBM
100
2
0
02 Aug 2023
The Bayesian Context Trees State Space Model for time series modelling
  and forecasting
The Bayesian Context Trees State Space Model for time series modelling and forecasting
I. Papageorgiou
Ioannis Kontoyiannis
AI4TS
67
2
0
02 Aug 2023
Learning to Model the World with Language
Learning to Model the World with Language
Jessy Lin
Yuqing Du
Olivia Watkins
Danijar Hafner
Pieter Abbeel
Dan Klein
Anca Dragan
LM&RoSyDa
121
55
0
31 Jul 2023
Can Self-Supervised Representation Learning Methods Withstand
  Distribution Shifts and Corruptions?
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa
Johan Rodahl Holmgren
Kanjar De
Rajkumar Saini
Marcus Liwicki
SSLOOD
87
6
0
31 Jul 2023
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
104
2
0
31 Jul 2023
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
Yuxin Mao
Jing Zhang
Mochu Xiang
Yun-Qiu Lv
Dong Li
Yiran Zhong
Yuchao Dai
DiffM
133
29
0
31 Jul 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning:
  A Survey
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
106
7
0
30 Jul 2023
FATRER: Full-Attention Topic Regularizer for Accurate and Robust
  Conversational Emotion Recognition
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition
Yuzhao Mao
Di Lu
Xiaojie Wang
Yang Zhang
69
2
0
23 Jul 2023
On the Fisher-Rao Gradient of the Evidence Lower Bound
On the Fisher-Rao Gradient of the Evidence Lower Bound
Nihat Ay
Jesse van Oostrum
15
1
0
20 Jul 2023
Human Motion Generation: A Survey
Human Motion Generation: A Survey
Wentao Zhu
Xiaoxuan Ma
Dongwoo Ro
Hai Ci
Jinlu Zhang
Jiaxin Shi
Feng Gao
Qi Tian
Yizhou Wang
VGen
150
60
0
20 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based
  Reachability Planning
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning
Zhifeng Qian
Mingyu You
Hongjun Zhou
Xuanhui Xu
Bin He
62
3
0
20 Jul 2023
Pluvio: Assembly Clone Search for Out-of-domain Architectures and
  Libraries through Transfer Learning and Conditional Variational Information
  Bottleneck
Pluvio: Assembly Clone Search for Out-of-domain Architectures and Libraries through Transfer Learning and Conditional Variational Information Bottleneck
Zhiwei Fu
Steven H. H. Ding
Furkan Alaca
Benjamin C. M. Fung
P. Charland
38
1
0
20 Jul 2023
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D
  Brain MRI Synthesis
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis
Lingting Zhu
Zeyue Xue
Zhenchao Jin
Xian Liu
Jingzhen He
Ziwei Liu
Lequan Yu
DiffMMedIm
70
35
0
19 Jul 2023
Interpretable Timbre Synthesis using Variational Autoencoders
  Regularized on Timbre Descriptors
Interpretable Timbre Synthesis using Variational Autoencoders Regularized on Timbre Descriptors
Anastasia Natsiou
Luca Longo
Seán O'Leary
99
0
0
18 Jul 2023
Towards Authentic Face Restoration with Iterative Diffusion Models and
  Beyond
Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond
Yang Zhao
Tingbo Hou
Yu-Chuan Su
Xuhui Jia. Yandong Li
Matthias Grundmann
DiffM
60
18
0
18 Jul 2023
Diffusion Models Beat GANs on Image Classification
Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay
M. Gwilliam
Vatsal Agarwal
Namitha Padmanabhan
A. Swaminathan
Srinidhi Hegde
Dinesh Manocha
Abhinav Shrivastava
DiffM
163
48
1
17 Jul 2023
Flow Matching in Latent Space
Flow Matching in Latent Space
Quan Dao
Hao Phung
Binh Duc Nguyen
Anh Tran
120
75
0
17 Jul 2023
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Identity-Preserving Aging of Face Images via Latent Diffusion Models
Sudipta Banerjee
Govind Mittal
Ameya Joshi
Chinmay Hegde
Nasir Memon
DiffM
99
9
0
17 Jul 2023
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Deep Generative Models for Physiological Signals: A Systematic Literature Review
Nour Neifar
Afef Mdhaffar
A. Ben-Hamadou
M. Jmaiel
MedIm
104
5
0
12 Jul 2023
Effective Latent Differential Equation Models via Attention and Multiple
  Shooting
Effective Latent Differential Equation Models via Attention and Multiple Shooting
German Abrevaya
Mahta Ramezanian-Panahi
Jean-Christophe Gagnon-Audet
Pablo Polosecki
Irina Rish
S. Dawson
Guillermo Cecchi
G. Dumas
MedIm
52
1
0
11 Jul 2023
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