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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 / 3,045 papers shown
Title
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi
Xiang Fu
Yi-Lun Liao
Vahe Gharakhanyan
Benjamin Kurt Miller
Anuroop Sriram
Zachary W. Ulissi
DiffM
60
4
0
05 Mar 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation
Sucheng Ren
Qihang Yu
Ju He
Xiaohui Shen
Alan Yuille
Liang-Chieh Chen
VGen
83
6
0
27 Feb 2025
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
Vidhi Lalchand
Anna-Christina Eilers
66
0
0
27 Feb 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
78
1
0
27 Feb 2025
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
Ruochen Li
Stamos Katsigiannis
Tae-Kyun Kim
Hubert P. H. Shum
92
1
0
20 Feb 2025
Benchmarking Predictive Coding Networks -- Made Simple
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti
Chang Qi
Oleh Lokshyn
Gaspard Olivers
Cornelius Emde
...
Simon Frieder
Bayar I. Menzat
Rafal Bogacz
Thomas Lukasiewicz
Tommaso Salvatori
130
5
0
17 Feb 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
Nanyu Luo
Feng Ji
DRL
41
0
0
15 Feb 2025
Unsupervised learning for anticipating critical transitions
Unsupervised learning for anticipating critical transitions
Shirin Panahi
Ling-Wei Kong
Bryan Glaz
Mulugeta Haile
Y. Lai
30
0
0
02 Jan 2025
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey)
S. Oota
Zijiao Chen
Manish Gupta
R. Bapi
G. Jobard
F. Alexandre
X. Hinaut
3DV
AI4CE
49
11
0
31 Dec 2024
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
Beilin Chu
Xuan Xu
Xin Wang
Wenjie Qu
Weike You
Linna Zhou
DiffM
100
1
0
10 Dec 2024
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
Shitong Shao
Zikai Zhou
Tian Ye
Lichen Bai
Zhiqiang Xu
Zeke Xie
DiffM
49
0
0
16 Nov 2024
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation
Koichi Namekata
Sherwin Bahmani
Ziyi Wu
Yash Kant
Igor Gilitschenski
David B. Lindell
VGen
65
13
0
07 Nov 2024
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
Xingjian Tang
Jingwei Guan
Linge Li
Youmei Zhang
Mengye Lyu
Li Yan
Li Yan
MedIm
DiffM
27
0
0
05 Nov 2024
Conditional Hallucinations for Image Compression
Conditional Hallucinations for Image Compression
Till Aczél
Roger Wattenhofer
36
0
0
25 Oct 2024
Training Neural Samplers with Reverse Diffusive KL Divergence
Training Neural Samplers with Reverse Diffusive KL Divergence
Jiajun He
Wenlin Chen
Mingtian Zhang
David Barber
José Miguel Hernández-Lobato
DiffM
42
4
0
16 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
41
1
0
03 Oct 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
Weifeng Lin
Xinyu Wei
Renrui Zhang
Le Zhuo
Shitian Zhao
...
Junlin Xie
Junlin Xie
Yu Qiao
Peng Gao
Hongsheng Li
MLLM
DiffM
63
10
0
23 Sep 2024
Remove Symmetries to Control Model Expressivity and Improve Optimization
Remove Symmetries to Control Model Expressivity and Improve Optimization
Liu Ziyin
Yizhou Xu
Isaac Chuang
AAML
41
1
0
28 Aug 2024
On Differentially Private 3D Medical Image Synthesis with Controllable
  Latent Diffusion Models
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models
Deniz Daum
Richard Osuala
Anneliese Riess
Georgios Kaissis
Julia A. Schnabel
Maxime Di Folco
MedIm
53
0
0
23 Jul 2024
Attention Beats Linear for Fast Implicit Neural Representation
  Generation
Attention Beats Linear for Fast Implicit Neural Representation Generation
Shuyi Zhang
Ke Liu
Jingjun Gu
Xiaoxu Cai
Zhihua Wang
Jiajun Bu
Haishuai Wang
48
2
0
22 Jul 2024
Assessing Sample Quality via the Latent Space of Generative Models
Assessing Sample Quality via the Latent Space of Generative Models
Jingyi Xu
Hieu M. Le
Dimitris Samaras
MedIm
42
2
0
21 Jul 2024
D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion
  based Virtual Try-On
D4^44-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
Zhaotong Yang
Zicheng Jiang
Xinzhe Li
Huiyu Zhou
Junyu Dong
Huaidong Zhang
Yong Du
DiffM
33
1
0
21 Jul 2024
Time Series Generative Learning with Application to Brain Imaging
  Analysis
Time Series Generative Learning with Application to Brain Imaging Analysis
Zhenghao Li
Sanyou Wu
Long Feng
MedIm
41
0
0
19 Jul 2024
URCDM: Ultra-Resolution Image Synthesis in Histopathology
URCDM: Ultra-Resolution Image Synthesis in Histopathology
Sarah Cechnicka
James G. C. Ball
Matthew Baugh
Hadrien Reynaud
Naomi Simmonds
A. Smith
Catherine Horsfield
C. Roufosse
Bernhard Kainz
MedIm
31
1
0
18 Jul 2024
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
Juan Song
Jiaxiang He
Mingtao Feng
Keyan Wang
Yunsong Li
DiffM
46
4
0
17 Jul 2024
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
Huiguo He
Huan Yang
Zixi Tuo
Yuan Zhou
Qiuyue Wang
Yuhang Zhang
Zeyu Liu
Wenhao Huang
Hongyang Chao
Jian Yin
DiffM
VGen
62
12
0
17 Jul 2024
Length-Aware Motion Synthesis via Latent Diffusion
Length-Aware Motion Synthesis via Latent Diffusion
Alessio Sampieri
Alessio Palma
Indro Spinelli
Fabio Galasso
VGen
DiffM
51
7
0
16 Jul 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
Lei Ren
Haiteng Wang
Yang Tang
Yang Tang
Chunhua Yang
AI4TS
AI4CE
51
5
0
16 Jul 2024
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
PULPo: Probabilistic Unsupervised Laplacian Pyramid Registration
Leonard Siegert
Paul Fischer
Mattias P. Heinrich
Christian F. Baumgartner
56
1
0
15 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
41
1
0
15 Jul 2024
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long
  Motion Generation
InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation
Zeyu Zhang
Akide Liu
Qi Chen
Feng Chen
Ian Reid
Richard Hartley
Bohan Zhuang
Hao Tang
Mamba
31
9
0
14 Jul 2024
Any-Property-Conditional Molecule Generation with Self-Criticism using
  Spanning Trees
Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
Alexia Jolicoeur-Martineau
A. Baratin
Kisoo Kwon
Boris Knyazev
Yan Zhang
40
1
0
12 Jul 2024
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable
  Landmark Conditions
EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions
Zhiyuan Chen
Jiajiong Cao
Zhiquan Chen
Yuming Li
Chenguang Ma
VGen
40
49
0
11 Jul 2024
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
Nikita Chernyadev
Nicholas Backshall
Xiao Ma
Yunfan Lu
Younggyo Seo
Stephen James
22
11
0
10 Jul 2024
Synthetic Data: Revisiting the Privacy-Utility Trade-off
Synthetic Data: Revisiting the Privacy-Utility Trade-off
Fatima Jahan Sarmin
Atiquer Rahman Sarkar
Yang Wang
Noman Mohammed
32
3
0
09 Jul 2024
Read, Watch and Scream! Sound Generation from Text and Video
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong
Yunji Kim
Sanghyuk Chun
Jiyoung Lee
VGen
DiffM
34
12
0
08 Jul 2024
MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
Jianwen Jiang
Gaojie Lin
Zhengkun Rong
Chao Liang
Yongming Zhu
Jiaqi Yang
Tianyun Zhong
3DH
90
8
0
08 Jul 2024
Experiments with truth using Machine Learning: Spectral analysis and
  explainable classification of synthetic, false, and genuine information
Experiments with truth using Machine Learning: Spectral analysis and explainable classification of synthetic, false, and genuine information
Vishnu S Pendyala
Madhulika Dutta
36
0
0
07 Jul 2024
Balance of Number of Embedding and their Dimensions in Vector
  Quantization
Balance of Number of Embedding and their Dimensions in Vector Quantization
Hang Chen
Sankepally Sainath Reddy
Ziwei Chen
Dianbo Liu
49
1
0
06 Jul 2024
Variational Partial Group Convolutions for Input-Aware Partial
  Equivariance of Rotations and Color-Shifts
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
Hyunsu Kim
Yegon Kim
Hongseok Yang
Juho Lee
45
1
0
05 Jul 2024
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
Jian Qian
Miao Sun
Sifan Zhou
Biao Wan
Minhao Li
Patrick Chiang
41
7
0
05 Jul 2024
Aligning Human Motion Generation with Human Perceptions
Aligning Human Motion Generation with Human Perceptions
Haoru Wang
Wentao Zhu
Luyi Miao
Yishu Xu
Feng Gao
Qi Tian
Yizhou Wang
EGVM
68
1
0
02 Jul 2024
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis
MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis
Dewei Zhou
Y. Li
Fan Ma
Zongxin Yang
Yuqing Yang
101
11
0
02 Jul 2024
E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation
  with character awareness
E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness
Robin Courant
Nicolas Dufour
Xi Wang
Marc Christie
Vicky Kalogeiton
VGen
46
4
0
01 Jul 2024
Coding for Intelligence from the Perspective of Category
Coding for Intelligence from the Perspective of Category
Wenhan Yang
Zixuan Hu
Lilang Lin
Jiaying Liu
Ling-Yu Duan
AI4CE
56
1
0
01 Jul 2024
Learning System Dynamics without Forgetting
Learning System Dynamics without Forgetting
Xikun Zhang
Dongjin Song
Yushan Jiang
Yixin Chen
Dacheng Tao
AI4CE
37
2
0
30 Jun 2024
Meta-Gradient Search Control: A Method for Improving the Efficiency of
  Dyna-style Planning
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning
Bradley Burega
John D. Martin
Luke Kapeluck
Michael Bowling
40
0
0
27 Jun 2024
Towards diffusion models for large-scale sea-ice modelling
Towards diffusion models for large-scale sea-ice modelling
Tobias S. Finn
Charlotte Durand
A. Farchi
Marc Bocquet
J. Brajard
47
2
0
26 Jun 2024
Text-Animator: Controllable Visual Text Video Generation
Text-Animator: Controllable Visual Text Video Generation
Lin Liu
Quande Liu
Shengju Qian
Yuan Zhou
Wengang Zhou
Houqiang Li
Lingxi Xie
Qi Tian
VGen
33
1
0
25 Jun 2024
Uncertainty-enabled machine learning for emulation of regional sea-level
  change caused by the Antarctic Ice Sheet
Uncertainty-enabled machine learning for emulation of regional sea-level change caused by the Antarctic Ice Sheet
Myungsoo Yoo
Giri Gopalan
Matthew J. Hoffman
Sophie Coulson
Holly Kyeore Han
C. Wikle
Trevor Hillebrand
AI4Cl
26
2
0
21 Jun 2024
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