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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
On diffusion-based generative models and their error bounds: The
  log-concave case with full convergence estimates
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates
Stefano Bruno
Ying Zhang
Dong-Young Lim
Ömer Deniz Akyildiz
Sotirios Sabanis
DiffM
110
5
0
22 Nov 2023
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Nicolás Gaggion
Benjamin A. Matheson
Yan Xia
Rodrigo Bonazzola
Nishant Ravikumar
Zeike A. Taylor
Diego H. Milone
Alejandro F. Frangi
Enzo Ferrante
141
4
0
22 Nov 2023
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image
  Detection
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
Nan Zhong
Yiran Xu
Sheng Li
Zhenxing Qian
Xinpeng Zhang
124
34
0
21 Nov 2023
Text-Guided Texturing by Synchronized Multi-View Diffusion
Text-Guided Texturing by Synchronized Multi-View Diffusion
Yuxin Liu
M. Xie
Hanyuan Liu
Tien-Tsin Wong
DiffM
130
59
0
21 Nov 2023
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based
  Latent Diffusion Model
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He
Chengyu Fang
Yulun Zhang
Chenyu You
Kai Li
Longxiang Tang
Fengyang Xiao
Xiu Li
Z. Guo
146
32
0
20 Nov 2023
vEEGNet: learning latent representations to reconstruct EEG raw data via
  variational autoencoders
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
Alberto Zancanaro
Giulia Cisotto
I. Zoppis
Sara Manzoni
DRL
48
5
0
16 Nov 2023
Spatial Bayesian Neural Networks
Spatial Bayesian Neural Networks
A. Zammit‐Mangion
Michael D. Kaminski
Ba-Hien Tran
Maurizio Filippone
Noel Cressie
BDL
46
9
0
16 Nov 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
Idan Lev-Yehudi
Moran Barenboim
Vadim Indelman
142
6
0
13 Nov 2023
Controllability-Constrained Deep Network Models for Enhanced Control of
  Dynamical Systems
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems
Suruchi Sharma
Volodymyr Makarenko
Gautam Kumar
Stas Tiomkin
AI4CE
30
0
0
11 Nov 2023
Machine-learning optimized measurements of chaotic dynamical systems via
  the information bottleneck
Machine-learning optimized measurements of chaotic dynamical systems via the information bottleneck
Kieran A. Murphy
Danielle Bassett
84
5
0
08 Nov 2023
Basis restricted elastic shape analysis on the space of unregistered
  surfaces
Basis restricted elastic shape analysis on the space of unregistered surfaces
Emmanuel Hartman
E. Pierson
Martin Bauer
Mohamed Daoudi
N. Charon
49
5
0
07 Nov 2023
Emulators in JINSP
Emulators in JINSP
Lei Zhao
Miaomiao Zhang
Zhe Lv
35
0
0
07 Nov 2023
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang
Xiaosong Jia
Hongyang Li
Junchi Yan
ELM
142
120
0
02 Nov 2023
De-Diffusion Makes Text a Strong Cross-Modal Interface
De-Diffusion Makes Text a Strong Cross-Modal Interface
Chen Wei
Chenxi Liu
Siyuan Qiao
Zhishuai Zhang
Alan Yuille
Jiahui Yu
VLMDiffM
103
11
0
01 Nov 2023
Rethinking Variational Inference for Probabilistic Programs with
  Stochastic Support
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
Tim Reichelt
C. Ong
Tom Rainforth
63
2
0
01 Nov 2023
Boosting Summarization with Normalizing Flows and Aggressive Training
Boosting Summarization with Normalizing Flows and Aggressive Training
Yu Yang
Xiaotong Shen
AI4CETPM
68
0
0
01 Nov 2023
Reconstructing Human Pose from Inertial Measurements: A Generative
  Model-based Compressive Sensing Approach
Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach
Nguyen Quang Hieu
D. Hoang
Diep N. Nguyen
Mohammad Abu Alsheikh
3DH
41
3
0
31 Oct 2023
Understanding and Visualizing Droplet Distributions in Simulations of
  Shallow Clouds
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds
Justus C. Will
A. M. Jenney
Kara D. Lamb
Michael S. Pritchard
Colleen Kaul
Po-Lun Ma
Kyle Pressel
Jacob Shpund
M. Lier-Walqui
Stephan Mandt
24
0
0
31 Oct 2023
Knowledge-based in silico models and dataset for the comparative
  evaluation of mammography AI for a range of breast characteristics, lesion
  conspicuities and doses
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses
E. Sizikova
Niloufar Saharkhiz
D. Sharma
Miguel Lago
B. Sahiner
Jana G. Delfino
Aldo Badano
57
6
0
27 Oct 2023
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered
  by Semantic Communication
A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication
Runze Cheng
Yao Sun
Dusit Niyato
Lan Zhang
Lei Zhang
Muhammad Ali Imran
81
12
0
26 Oct 2023
Learning to Abstract with Nonparametric Variational Information
  Bottleneck
Learning to Abstract with Nonparametric Variational Information Bottleneck
Melika Behjati
Fabio Fehr
James Henderson
SSL
60
3
0
26 Oct 2023
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings
Yifei Peng
Yu Jin
Yu Jin
Zhexu Luo
Wang-Zhou Dai
Zhong Ren
Kun Zhou
Kun Zhou
GANNAI
64
0
0
26 Oct 2023
netFound: Foundation Model for Network Security
netFound: Foundation Model for Network Security
Satyandra Guthula
Navya Battula
Roman Beltiukov
Wenbo Guo
Arpit Gupta
Inder Monga
141
19
0
25 Oct 2023
From Pointwise to Powerhouse: Initialising Neural Networks with
  Generative Models
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
Christian Harder
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
65
0
0
25 Oct 2023
Dolfin: Diffusion Layout Transformers without Autoencoder
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang
Zeyuan Chen
Liangjun Zhong
Zheng Ding
Zhizhou Sha
Zhuowen Tu
114
17
0
25 Oct 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen
Tetsuya Sakurai
Hiroshi Mamitsuka
139
2
0
25 Oct 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
Yixin Wu
Ning Yu
Michael Backes
Yun Shen
Yang Zhang
DiffM
153
8
0
25 Oct 2023
Posterior Estimation for Dynamic PET imaging using Conditional
  Variational Inference
Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference
Xiaofeng Liu
Thibault Marin
Tiss Amal
Jonghye Woo
Xiaofeng Liu
Georges El Fakhri
13
0
0
24 Oct 2023
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
Privacy Protection in MRI Scans Using 3D Masked Autoencoders
Lennart Alexander Van der Goten
Kevin Smith
MedIm
35
0
0
24 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
Md Rafi Ur Rashid
Vishnu Asutosh Dasu
Kang Gu
Najrin Sultana
Shagufta Mehnaz
AAMLFedML
176
12
0
24 Oct 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
79
3
0
23 Oct 2023
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D
  diffusion
MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion
Roy Kapon
Guy Tevet
Daniel Cohen-Or
Amit H. Bermano
DiffM
102
21
0
23 Oct 2023
MFCC-GAN Codec: A New AI-based Audio Coding
MFCC-GAN Codec: A New AI-based Audio Coding
Mohammad Reza Hasanabadi
40
0
0
22 Oct 2023
Continual Invariant Risk Minimization
Continual Invariant Risk Minimization
Francesco Alesiani
Shujian Yu
Mathias Niepert
OOD
82
1
0
21 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
138
6
0
20 Oct 2023
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting
  Multiple Experts for Video Deepfake Detection
AVTENet: Audio-Visual Transformer-based Ensemble Network Exploiting Multiple Experts for Video Deepfake Detection
Ammarah Hashmi
Sahibzada Adil Shahzad
Chia-Wen Lin
Yu Tsao
Hsin-Min Wang
ViT
121
6
0
19 Oct 2023
Audio Editing with Non-Rigid Text Prompts
Audio Editing with Non-Rigid Text Prompts
Francesco Paissan
Luca Della Libera
Zhepei Wang
Mirco Ravanelli
Paris Smaragdis
Cem Subakan
DiffM
85
5
0
19 Oct 2023
Closed-Form Diffusion Models
Closed-Form Diffusion Models
Christopher Scarvelis
Haitz Sáez de Ocáriz Borde
Justin Solomon
DiffM
189
12
0
19 Oct 2023
Canonical normalizing flows for manifold learning
Canonical normalizing flows for manifold learning
Kyriakos Flouris
E. Konukoglu
DRL
121
9
0
19 Oct 2023
On the Distributed Evaluation of Generative Models
On the Distributed Evaluation of Generative Models
Zixiao Wang
Farzan Farnia
Zhenghao Lin
Yunheng Shen
Bei Yu
EGVMFedML
62
2
0
18 Oct 2023
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting
Harshavardhan Kamarthi
Lingkai Kong
Alexander Rodríguez
Chao Zhang
B. Prakash
AI4TS
87
4
0
17 Oct 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time
  Series Anomaly Detection
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection
Chaoyue Ding
Shiliang Sun
Jing Zhao
AI4TS
83
155
0
17 Oct 2023
3D Structure-guided Network for Tooth Alignment in 2D Photograph
3D Structure-guided Network for Tooth Alignment in 2D Photograph
Yulong Dou
Lanzhuju Mei
Dinggang Shen
Zhiming Cui
DiffM
50
1
0
17 Oct 2023
Gaussian processes based data augmentation and expected signature for
  time series classification
Gaussian processes based data augmentation and expected signature for time series classification
Marco Romito
Francesco Triggiano
AI4TS
123
0
0
16 Oct 2023
MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete
  Representations
MoConVQ: Unified Physics-Based Motion Control via Scalable Discrete Representations
Heyuan Yao
Zhenhua Song
Yuyang Zhou
Tenglong Ao
Baoquan Chen
Libin Liu
135
44
0
16 Oct 2023
Outlier Detection Using Generative Models with Theoretical Performance
  Guarantees
Outlier Detection Using Generative Models with Theoretical Performance Guarantees
Jirong Yi
A. D. Le
Tianming Wang
Xiaodong Wu
Weiyu Xu
114
3
0
16 Oct 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient
  Representations
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations
Ahmed Khalil
Robert Piechocki
Raúl Santos-Rodríguez
54
2
0
13 Oct 2023
Variational autoencoder with weighted samples for high-dimensional
  non-parametric adaptive importance sampling
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling
J. Demange-Chryst
François Bachoc
Jérome Morio
Timothé Krauth
56
2
0
13 Oct 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Klaus-Rudolf Kladny
Julius von Kügelgen
Bernhard Schölkopf
Michael Muehlebach
BDL
106
7
0
11 Oct 2023
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation
Liyang Chen
Weihong Bao
Shunwei Lei
Boshi Tang
Zhiyong Wu
Shiyin Kang
Haozhi Huang
Helen M. Meng
108
1
0
11 Oct 2023
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