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Auto-Encoding Variational Bayes

Auto-Encoding Variational Bayes

20 December 2013
Diederik P. Kingma
Max Welling
    BDL
ArXivPDFHTML

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,299 papers shown
Title
Visual Anomaly Detection via Dual-Attention Transformer and
  Discriminative Flow
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow
Haiming Yao
Wei Luo
Wenyong Yu
ViT
34
3
0
31 Mar 2023
Physics and Chemistry from Parsimonious Representations: Image Analysis
  via Invariant Variational Autoencoders
Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders
Mani Valleti
Yongtao Liu
Sergei V. Kalinin
DRL
30
4
0
30 Mar 2023
Fast inference of latent space dynamics in huge relational event
  networks
Fast inference of latent space dynamics in huge relational event networks
I. Artico
Ernst C. Wit
BDL
21
1
0
29 Mar 2023
WordStylist: Styled Verbatim Handwritten Text Generation with Latent
  Diffusion Models
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou
George Retsinas
Vincent Christlein
Mathias Seuret
Giorgos Sfikas
Elisa Barney Smith
Hamam Mokayed
Marcus Liwicki
DiffM
29
16
0
29 Mar 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li
Mihir Prabhudesai
Shivam Duggal
Ellis L Brown
Deepak Pathak
DiffM
VLM
55
227
0
28 Mar 2023
Variational Distribution Learning for Unsupervised Text-to-Image
  Generation
Variational Distribution Learning for Unsupervised Text-to-Image Generation
Minsoo Kang
Doyup Lee
Jiseob Kim
Saehoon Kim
Bohyung Han
DRL
OOD
33
3
0
28 Mar 2023
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless
  Fingerprinting
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting
Tengfei Huang
T. Dahanayaka
Kanchana Thilakarathna
Philip H. W. Leong
H. El Gamal
22
2
0
28 Mar 2023
Exploring Continual Learning of Diffusion Models
Exploring Continual Learning of Diffusion Models
Michal Zajac
Kamil Deja
Anna Kuzina
Jakub M. Tomczak
Tomasz Trzciñski
Florian Shkurti
Piotr Milo's
DiffM
35
11
0
27 Mar 2023
Object-Centric Relational Representations for Image Generation
Object-Centric Relational Representations for Image Generation
L. Butera
Andrea Cini
Alberto Ferrante
Cesare Alippi
OCL
DiffM
34
0
0
26 Mar 2023
Spatial Latent Representations in Generative Adversarial Networks for
  Image Generation
Spatial Latent Representations in Generative Adversarial Networks for Image Generation
Maciej Sypetkowski
GAN
26
1
0
25 Mar 2023
A Generative Modeling Approach Using Quantum Gates
A Generative Modeling Approach Using Quantum Gates
Soumya Sarkar
GAN
23
0
0
25 Mar 2023
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional
  Hand-Object Manipulation Synthesis
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis
Juntian Zheng
Qingyuan Zheng
Lixing Fang
Yun-Hai Liu
Li Yi
28
45
0
25 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning
Structural Imbalance Aware Graph Augmentation Learning
Zulong Liu
Kejia Chen
Zheng Liu
31
0
0
24 Mar 2023
High Fidelity Image Synthesis With Deep VAEs In Latent Space
High Fidelity Image Synthesis With Deep VAEs In Latent Space
Troy Luhman
Eric Luhman
DRL
3DV
31
7
0
23 Mar 2023
Continuous Indeterminate Probability Neural Network
Continuous Indeterminate Probability Neural Network
T.A. Yang
BDL
24
0
0
23 Mar 2023
SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication
  System
SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System
Amani Al-Shawabka
P. Pietraski
Sudhir B. Pattar
Pedram Johari
Tommaso Melodia
21
3
0
21 Mar 2023
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using
  Diffusion Models
NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
A. Shrivastava
P. T. Fletcher
DiffM
MedIm
31
22
0
20 Mar 2023
Targeted Analysis of High-Risk States Using an Oriented Variational
  Autoencoder
Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder
Chenguang Wang
Ensieh Sharifnia
Simon Tindemans
Peter Palensky
DRL
29
0
0
20 Mar 2023
Training Invertible Neural Networks as Autoencoders
Training Invertible Neural Networks as Autoencoders
The-Gia Leo Nguyen
Lynton Ardizzone
Ullrich Kothe
BDL
DRL
SSL
30
9
0
20 Mar 2023
FullFormer: Generating Shapes Inside Shapes
FullFormer: Generating Shapes Inside Shapes
Tejaswini Medi
Jawad Tayyub
M. Sarmad
Frank Lindseth
M. Keuper
35
0
0
20 Mar 2023
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
Xinyang Liu
Dongsheng Wang
Bowei Fang
Miaoge Li
Zhibin Duan
Yishi Xu
Bo Chen
Mingyuan Zhou
VLM
VPVLM
29
5
0
16 Mar 2023
Label Information Bottleneck for Label Enhancement
Label Information Bottleneck for Label Enhancement
Qinghai Zheng
Jihua Zhu
Haoyu Tang
31
6
0
13 Mar 2023
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN
  Images
Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images
Ankit V. Manerikar
A. Kak
VLM
29
2
0
10 Mar 2023
Detecting Images Generated by Diffusers
Detecting Images Generated by Diffusers
D. Coccomini
Andrea Esuli
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
DiffM
45
14
0
09 Mar 2023
Robust Multimodal Fusion for Human Activity Recognition
Robust Multimodal Fusion for Human Activity Recognition
Sanju Xaviar
Xin Yang
Omid Ardakanian
HAI
29
5
0
08 Mar 2023
Computing with Categories in Machine Learning
Computing with Categories in Machine Learning
Eli Sennesh
T. Xu
Yoshihiro Maruyama
28
2
0
07 Mar 2023
Sketch-based Medical Image Retrieval
Sketch-based Medical Image Retrieval
Kazuma Kobayashi
Lin Gu
Ryuichiro Hataya
T. Mizuno
M. Miyake
...
Nobuji Kouno
Amina Bolatkan
Y. Kurose
Tatsuya Harada
Ryuji Hamamoto
24
8
0
07 Mar 2023
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely
  Monitored Autonomous Robots for Last-Mile Delivery
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
Peter J Bentley
Soo Ling Lim
Paolo Arcaini
Fuyuki Ishikawa
DRL
26
6
0
06 Mar 2023
A Review of Deep Learning-Powered Mesh Reconstruction Methods
A Review of Deep Learning-Powered Mesh Reconstruction Methods
Zhiqin Chen
3DV
43
2
0
06 Mar 2023
Unleashing Text-to-Image Diffusion Models for Visual Perception
Unleashing Text-to-Image Diffusion Models for Visual Perception
Wenliang Zhao
Yongming Rao
Zuyan Liu
Benlin Liu
Jie Zhou
Jiwen Lu
ObjD
VLM
MDE
163
218
0
03 Mar 2023
Physics-Informed Deep Learning For Traffic State Estimation: A Survey
  and the Outlook
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook
Xuan Di
Rongye Shi
Zhaobin Mo
Yongjie Fu
PINN
AI4TS
AI4CE
32
28
0
03 Mar 2023
Contrastive Hierarchical Clustering
Contrastive Hierarchical Clustering
Michal Znale'zniak
P. Rola
Patryk Kaszuba
Jacek Tabor
Marek Śmieja
21
5
0
03 Mar 2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a
  Semi-supervised Sequential Variational Bayes Framework
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai
Junn Yong Loo
Z. Y. Ding
Chee Pin Tan
Raphaël C.-W. Phan
Vishnu Monn Baskaran
Surya Girinatha Nurzaman
DRL
13
5
0
03 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement
  Learning
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma
Ahmed M. Ahmed
Rehaan Ahmad
Chelsea Finn
SSL
59
17
0
02 Mar 2023
Measuring axiomatic soundness of counterfactual image models
Measuring axiomatic soundness of counterfactual image models
M. Monteiro
Fabio De Sousa Ribeiro
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
44
25
0
02 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
26
31
0
02 Mar 2023
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks
A Lifted Bregman Formulation for the Inversion of Deep Neural Networks
Xiaoyu Wang
Martin Benning
36
2
0
01 Mar 2023
Interactive Segmentation as Gaussian Process Classification
Interactive Segmentation as Gaussian Process Classification
Minghao Zhou
Hong Wang
Qian Zhao
Yuexiang Li
Yawen Huang
Deyu Meng
Yefeng Zheng
VLM
34
22
0
28 Feb 2023
UniFLG: Unified Facial Landmark Generator from Text or Speech
UniFLG: Unified Facial Landmark Generator from Text or Speech
Kentaro Mitsui
Yukiya Hono
Kei Sawada
CVBM
16
6
0
28 Feb 2023
U-Statistics for Importance-Weighted Variational Inference
U-Statistics for Importance-Weighted Variational Inference
Javier Burroni
Kenta Takatsu
Justin Domke
Daniel Sheldon
18
1
0
27 Feb 2023
Directed Diffusion: Direct Control of Object Placement through Attention
  Guidance
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
W. Ma
J. P. Lewis
Avisek Lahiri
Thomas Leung
W. Kleijn
DiffM
16
66
0
25 Feb 2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Alexander Norcliffe
B. Cebere
F. Imrie
Pietro Lio
M. Schaar
SyDa
44
14
0
24 Feb 2023
Data Augmentation with GAN increases the Performance of Arrhythmia
  Classification for an Unbalanced Dataset
Data Augmentation with GAN increases the Performance of Arrhythmia Classification for an Unbalanced Dataset
Okan Düzyel
M. Kuntalp
23
2
0
24 Feb 2023
PITS: Variational Pitch Inference without Fundamental Frequency for
  End-to-End Pitch-controllable TTS
PITS: Variational Pitch Inference without Fundamental Frequency for End-to-End Pitch-controllable TTS
Junhyeok Lee
Wonbin Jung
Hyunjae Cho
Jaeyeon Kim
Jaehwan Kim
22
3
0
24 Feb 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization
Uncertainty Injection: A Deep Learning Method for Robust Optimization
W. Cui
Wei Yu
UQCV
OOD
27
6
0
23 Feb 2023
Self-supervised network distillation: an effective approach to
  exploration in sparse reward environments
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
32
3
0
22 Feb 2023
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Differentiable Bootstrap Particle Filters for Regime-Switching Models
Wenhan Li
Xiongjie Chen
Wenwu Wang
Victor Elvira
Yunpeng Li
43
6
0
20 Feb 2023
Molecular design method based on novel molecular representation and
  variational auto-encoder
Molecular design method based on novel molecular representation and variational auto-encoder
Li Kai
Liu Ning
Z. Wei
Gao Ming
DRL
17
2
0
20 Feb 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label
  Classification
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
Tianci Liu
Haoyu Wang
Yaqing Wang
Xiaoqian Wang
Lu Su
Jing Gao
38
6
0
19 Feb 2023
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya Zhang
Ivor W. Tsang
NoLa
BDL
33
8
0
19 Feb 2023
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