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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 / 3,114 papers shown
Title
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
29
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
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
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
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
217
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
10
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
56
17
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
31
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
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
17
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
Stochastic Generative Flow Networks
Stochastic Generative Flow Networks
L. Pan
Dinghuai Zhang
Moksh Jain
Longbo Huang
Yoshua Bengio
BDL
47
30
0
19 Feb 2023
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y
  Aplicaciones
Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones
J. D. L. Torre
DRL
20
1
0
18 Feb 2023
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y
  Aplicaciones
Redes Generativas Adversarias (GAN) Fundamentos Teóricos y Aplicaciones
J. D. L. Torre
GAN
26
1
0
18 Feb 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction
Deep Joint Source-Channel Coding with Iterative Source Error Correction
Changwoo Lee
Xiao Hu
Hun-Seok Kim
29
6
0
17 Feb 2023
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
28
40
0
17 Feb 2023
Self-Organising Neural Discrete Representation Learning à la Kohonen
Self-Organising Neural Discrete Representation Learning à la Kohonen
Kazuki Irie
Róbert Csordás
Jürgen Schmidhuber
SSL
32
1
0
15 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
38
13
0
15 Feb 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
DP-BART for Privatized Text Rewriting under Local Differential Privacy
Timour Igamberdiev
Ivan Habernal
23
17
0
15 Feb 2023
ForceFormer: Exploring Social Force and Transformer for Pedestrian
  Trajectory Prediction
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction
Wei-chao Zhang
Hao Cheng
Fatema-Tuj-Johora
Monika Sester
24
9
0
15 Feb 2023
Where to Diffuse, How to Diffuse, and How to Get Back: Automated
  Learning for Multivariate Diffusions
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions
Raghav Singhal
Mark Goldstein
Rajesh Ranganath
DiffM
39
21
0
14 Feb 2023
From paintbrush to pixel: A review of deep neural networks in
  AI-generated art
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten
Derya Soydaner
37
23
0
14 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
ALAN: Autonomously Exploring Robotic Agents in the Real World
Russell Mendonca
Shikhar Bahl
Deepak Pathak
LM&Ro
36
20
0
13 Feb 2023
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical
  Musculoskeletal System Based on Non-intrusive Model Order Reduction
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
Jonas Kneifl
D. Rosin
Oliver Röhrle
Jörg Fehr
AI4CE
21
13
0
13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
18
3
0
11 Feb 2023
Unbinned Profiled Unfolding
Unbinned Profiled Unfolding
Jay Chan
Benjamin Nachman
24
7
0
10 Feb 2023
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