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 / 3,731 papers shown
Title
A Mathematical Framework for Learning Probability Distributions
A Mathematical Framework for Learning Probability Distributions
Hongkang Yang
97
7
0
22 Dec 2022
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Adapting to Latent Subgroup Shifts via Concepts and Proxies
Ibrahim Alabdulmohsin
Nicole Chiou
Alexander DÁmour
Arthur Gretton
Sanmi Koyejo
Matt J. Kusner
Stephen Pfohl
Olawale Salaudeen
Jessica Schrouff
Katherine Tsai
127
11
0
21 Dec 2022
What Makes for Good Tokenizers in Vision Transformer?
What Makes for Good Tokenizers in Vision Transformer?
Shengju Qian
Yi Zhu
Wenbo Li
Mu Li
Jiaya Jia
ViT
91
14
0
21 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
112
31
0
21 Dec 2022
VCNet: A self-explaining model for realistic counterfactual generation
VCNet: A self-explaining model for realistic counterfactual generation
Victor Guyomard
Franccoise Fessant
Thomas Guyet
Tassadit Bouadi
Alexandre Termier
BDLOODCML
71
25
0
21 Dec 2022
Beyond Contrastive Learning: A Variational Generative Model for
  Multilingual Retrieval
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
John Wieting
J. Clark
William W. Cohen
Graham Neubig
Taylor Berg-Kirkpatrick
89
6
0
21 Dec 2022
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar
  Induction
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
Boyi Li
Rodolfo Corona
K. Mangalam
Catherine Chen
Daniel Flaherty
Serge Belongie
Kilian Q. Weinberger
Jitendra Malik
Trevor Darrell
Dan Klein
73
1
0
20 Dec 2022
RangeAugment: Efficient Online Augmentation with Range Learning
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta
Saeid Naderiparizi
Fartash Faghri
Maxwell Horton
Lailin Chen
Ali Farhadi
Oncel Tuzel
Mohammad Rastegari
53
6
0
20 Dec 2022
Semantically-informed Hierarchical Event Modeling
Semantically-informed Hierarchical Event Modeling
Shubhashis Roy Dipta
Mehdi Rezaee
Francis Feraro
72
2
0
20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression
  Perspective for In-Context Example Selection and Ordering
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu
Yaoxiang Wang
Jiacheng Ye
Lingpeng Kong
114
141
0
20 Dec 2022
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Simone Klenk
David Bonello
Lukas Koestler
Nikita Araslanov
Daniel Cremers
92
25
0
20 Dec 2022
Emotion Selectable End-to-End Text-based Speech Editing
Emotion Selectable End-to-End Text-based Speech Editing
Tao Wang
Jiangyan Yi
Ruibo Fu
J. Tao
Zhengqi Wen
Chu Yuan Zhang
74
2
0
20 Dec 2022
Identifying latent distances with Finslerian geometry
Identifying latent distances with Finslerian geometry
Alison Pouplin
David Eklund
Carl Henrik Ek
Søren Hauberg
104
1
0
20 Dec 2022
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
Ning Yu
Chia-Chih Chen
Zeyuan Chen
Rui Meng
Ganglu Wu
P. Josel
Juan Carlos Niebles
Caiming Xiong
Ran Xu
ViTDiffM
86
8
0
19 Dec 2022
Scalable Diffusion Models with Transformers
Scalable Diffusion Models with Transformers
William S. Peebles
Saining Xie
GNN
143
2,438
0
19 Dec 2022
StyleFlow: Disentangle Latent Representations via Normalizing Flow for
  Unsupervised Text Style Transfer
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer
Kangchen Zhu
Zhiliang Tian
Ruifeng Luo
Xiaoguang Mao
OOD
105
3
0
19 Dec 2022
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and
  Video Generation
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan
Yi Ma
Huan Yang
Huiguo He
Bei Liu
Jianlong Fu
Nicholas Jing Yuan
Qin Jin
B. Guo
DiffMVGen
129
193
0
19 Dec 2022
Faithful Heteroscedastic Regression with Neural Networks
Faithful Heteroscedastic Regression with Neural Networks
Andrew Stirn
H. Wessels
Megan D. Schertzer
L. Pereira
Neville E. Sanjana
David A. Knowles
UQCV
107
18
0
18 Dec 2022
PVGRU: Generating Diverse and Relevant Dialogue Responses via
  Pseudo-Variational Mechanism
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
Yongkang Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
98
6
0
18 Dec 2022
GAN-based Tabular Data Generator for Constructing Synopsis in
  Approximate Query Processing: Challenges and Solutions
GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
M. Fallahian
Mohsen Dorodchi
Kyle Kreth
51
7
0
18 Dec 2022
Hyperbolic Hierarchical Contrastive Hashing
Hyperbolic Hierarchical Contrastive Hashing
Rukai Wei
Yu Liu
Jingkuan Song
Yanzhao Xie
Ke Zhou
96
12
0
17 Dec 2022
A Survey on Password Guessing
A Survey on Password Guessing
Lam C. Tran
Thuc Nguyen
Changho Seo
Hyunil Kim
Deokjai Choi
52
1
0
17 Dec 2022
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Point-E: A System for Generating 3D Point Clouds from Complex Prompts
Alex Nichol
Heewoo Jun
Prafulla Dhariwal
Pamela Mishkin
Mark Chen
DiffM
133
612
0
16 Dec 2022
Distribution-aware Goal Prediction and Conformant Model-based Planning
  for Safe Autonomous Driving
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
Jonathan M Francis
Bingqing Chen
Weiran Yao
Eric Nyberg
Jean Oh
OOD
83
5
0
16 Dec 2022
Text-to-speech synthesis based on latent variable conversion using
  diffusion probabilistic model and variational autoencoder
Text-to-speech synthesis based on latent variable conversion using diffusion probabilistic model and variational autoencoder
Yusuke Yasuda
Tomoki Toda
DiffM
74
8
0
16 Dec 2022
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
Runpei Dong
Zekun Qi
Linfeng Zhang
Junbo Zhang
Jian‐Yuan Sun
Zheng Ge
Li Yi
Kaisheng Ma
ViT3DPC
108
91
0
16 Dec 2022
Controllable Text Generation via Probability Density Estimation in the
  Latent Space
Controllable Text Generation via Probability Density Estimation in the Latent Space
Yuxuan Gu
Xiaocheng Feng
Sicheng Ma
Lingyuan Zhang
Heng Gong
Weihong Zhong
Bing Qin
77
18
0
16 Dec 2022
RWEN-TTS: Relation-aware Word Encoding Network for Natural
  Text-to-Speech Synthesis
RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis
Shinhyeok Oh
HyeongRae Noh
Yoonseok Hong
Insoo Oh
68
0
0
15 Dec 2022
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
291
11
0
15 Dec 2022
Summary-Oriented Vision Modeling for Multimodal Abstractive
  Summarization
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization
Yunlong Liang
Fandong Meng
Jinan Xu
Jiaan Wang
Jinan Xu
Jie Zhou
92
22
0
15 Dec 2022
Bi-Noising Diffusion: Towards Conditional Diffusion Models with
  Generative Restoration Priors
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors
Kangfu Mei
Nithin Gopalakrishnan Nair
Vishal M. Patel
DiffM
58
7
0
14 Dec 2022
Lorentz group equivariant autoencoders
Lorentz group equivariant autoencoders
Zichun Hao
Raghav Kansal
Javier Mauricio Duarte
N. Chernyavskaya
BDLDRLAI4CE
113
24
0
14 Dec 2022
PhoMoH: Implicit Photorealistic 3D Models of Human Heads
PhoMoH: Implicit Photorealistic 3D Models of Human Heads
M. Zanfir
Thiemo Alldieck
C. Sminchisescu
3DH
97
5
0
14 Dec 2022
Trajectory-User Linking Is Easier Than You Think
Trajectory-User Linking Is Easier Than You Think
Alameen Najjar
K. Mede
123
3
0
14 Dec 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein
  Distance
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
Dohyun Kwon
Ying Fan
Kangwook Lee
DiffM
74
54
0
13 Dec 2022
Resolving Semantic Confusions for Improved Zero-Shot Detection
Resolving Semantic Confusions for Improved Zero-Shot Detection
Sandipan Sarma
Sushil Kumar
Arijit Sur
VLMObjD
86
10
0
12 Dec 2022
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using
  RGBD Diffusion Models
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei
Jiapeng Tang
Kui Jia
DiffM
89
38
0
12 Dec 2022
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action
  Labels
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
T. Lee
Gyeongsik Moon
Kyoung Mu Lee
114
45
0
12 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A
  Survey
Instrumental Variables in Causal Inference and Machine Learning: A Survey
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Leilei Gan
SyDaCML
72
7
0
12 Dec 2022
Decentralized cooperative perception for autonomous vehicles: Learning
  to value the unknown
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
Maxime Chaveroche
Franck Davoine
V. Berge-Cherfaoui
50
1
0
12 Dec 2022
Estimator: An Effective and Scalable Framework for Transportation Mode
  Classification over Trajectories
Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories
Danlei Hu
Ziquan Fang
Hanxi Fang
Tianyi Li
Chun-ru Shen
Lu Chen
Yunjun Gao
61
5
0
11 Dec 2022
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-Training
Yiqi Lin
Huabin Zheng
Huaping Zhong
Jinjing Zhu
Weijia Li
Conghui He
Lin Wang
73
2
0
11 Dec 2022
Measuring Data
Measuring Data
Margaret Mitchell
A. Luccioni
Nathan Lambert
Marissa Gerchick
Angelina McMillan-Major
Ezinwanne Ozoani
Nazneen Rajani
Tristan Thrush
Yacine Jernite
Douwe Kiela
86
17
0
09 Dec 2022
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Anni Tang
Tianyu He
Xuejiao Tan
Jun Ling
Liang Song
CVBM
72
24
0
09 Dec 2022
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and
  Editing
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
Nam Anh Dinh
Haochen Wang
G. Shakhnarovich
Rana Hanocka
41
2
0
09 Dec 2022
Genie: Show Me the Data for Quantization
Genie: Show Me the Data for Quantization
Yongkweon Jeon
Chungman Lee
Ho-Young Kim
MQ
103
13
0
09 Dec 2022
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
117
100
0
09 Dec 2022
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis
Rishabh Dabral
Muhammad Hamza Mughal
Vladislav Golyanik
Christian Theobalt
DiffMVGen
109
183
0
08 Dec 2022
Multi-Concept Customization of Text-to-Image Diffusion
Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari
Bin Zhang
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
202
877
0
08 Dec 2022
DeeProb-kit: a Python Library for Deep Probabilistic Modelling
DeeProb-kit: a Python Library for Deep Probabilistic Modelling
Lorenzo Loconte
G. Gala
GPBDL
45
1
0
08 Dec 2022
Previous
123...303132...737475
Next