Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2002.07217
Cited By
v1
v2
v3 (latest)
Decision-Making with Auto-Encoding Variational Bayes
17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Decision-Making with Auto-Encoding Variational Bayes"
50 / 3,748 papers shown
Title
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Ba-Hien Tran
Giulio Franzese
Pietro Michiardi
Maurizio Filippone
DiffM
128
4
0
30 May 2023
A Federated Channel Modeling System using Generative Neural Networks
S. Bano
P. Cassará
Nicola Tonellotto
A. Gotta
69
5
0
30 May 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning
Jialong Wu
Haoyu Ma
Chao Deng
Mingsheng Long
OffRL
77
32
0
29 May 2023
Learning a Structural Causal Model for Intuition Reasoning in Conversation
Hang Chen
Bingyu Liao
Jing Luo
Wenjing Zhu
Xinyu Yang
LRM
119
13
0
28 May 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
Youlong Ding
Xueyang Wu
Hongya Wang
Weike Pan
100
1
0
28 May 2023
Deep Variational Lesion-Deficit Mapping
Guilherme Pombo
Robert J. Gray
Amy Nelson
Chris Foulon
John Ashburner
P. Nachev
MedIm
43
1
0
27 May 2023
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
96
31
0
27 May 2023
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
Zihao Yu
Haoyang Li
Fangcheng Fu
Xupeng Miao
Tengjiao Wang
DiffM
93
8
0
27 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILaw
SyDa
ELM
AI4TS
112
155
0
27 May 2023
Kernel Density Matrices for Probabilistic Deep Learning
Fabio A. González
Raúl Ramos-Pollán
Joseph A. Gallego-Mejia
23
2
0
26 May 2023
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders
Ali Siahkoohi
Rudy Morel
Randall Balestriero
Erwan Allys
G. Sainton
Taichi Kawamura
Maarten V. de Hoop
141
2
0
25 May 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
77
2
0
25 May 2023
On the Identifiability of Switching Dynamical Systems
Carles Balsells-Rodas
Yixin Wang
Yingzhen Li
141
5
0
25 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilana D Naiman
Nimrod Berman
Omri Azencot
DRL
99
6
0
25 May 2023
Generative Adversarial Reduced Order Modelling
Dario Coscia
N. Demo
G. Rozza
GAN
AI4CE
152
7
0
25 May 2023
Inverse Protein Folding Using Deep Bayesian Optimization
Natalie Maus
Yimeng Zeng
Daniel A. Anderson
Phillip M. Maffettone
Aaron C. Solomon
Peyton Greenside
Osbert Bastani
Jacob R. Gardner
95
3
0
25 May 2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Po-han Li
S. Ankireddy
Ruihan Zhao
Hossein Nourkhiz Mahjoub
Ehsan Moradi-Pari
Ufuk Topcu
Sandeep Chinchali
Hyeji Kim
92
10
0
24 May 2023
On the Convergence of Black-Box Variational Inference
Kyurae Kim
Jisu Oh
Kaiwen Wu
Yi-An Ma
Jacob R. Gardner
BDL
94
17
0
24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation
Tianyu Yang
Thy Thy Tran
Iryna Gurevych
DiffM
73
1
0
24 May 2023
DuDGAN: Improving Class-Conditional GANs via Dual-Diffusion
Tae-Jung Yeom
Minhyeok Lee
DiffM
52
7
0
24 May 2023
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park
Hobin Ryu
Yunseo Yang
Jegyeong Cho
Jiwon Kim
Kuk-Jin Yoon
77
59
0
24 May 2023
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Lingbing Guo
Zhuo Chen
Jiaoyan Chen
Yin Fang
Wen Zhang
Huajun Chen
68
9
0
24 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
71
6
0
23 May 2023
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Yuxiao Li
Santiago Mazuelas
Yuan-Chung Shen
BDL
65
0
0
23 May 2023
A New Comprehensive Benchmark for Semi-supervised Video Anomaly Detection and Anticipation
Congqi Cao
Yue Lu
Peng Wang
Yanning Zhang
106
41
0
23 May 2023
Road Planning for Slums via Deep Reinforcement Learning
Y. Zheng
Hongyuan Su
Jingtao Ding
Depeng Jin
Yong Li
71
14
0
22 May 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning
Jiayu Chen
Dipesh Tamboli
Tian-Shing Lan
Vaneet Aggarwal
85
12
0
22 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
Zheng Dong
Zekai Fan
Shixiang Zhu
DiffM
115
4
0
21 May 2023
Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun
Girish Chowdhary
DiffM
94
8
0
21 May 2023
Model Debiasing via Gradient-based Explanation on Representation
Jindi Zhang
Luning Wang
Dan Su
Yongxiang Huang
Caleb Chen Cao
Lei Chen
FaML
CML
41
2
0
20 May 2023
Inventing art styles with no artistic training data
Nilin Abrahamsen
Jiahao Yao
GAN
103
3
0
19 May 2023
Attributable and Scalable Opinion Summarization
Tom Hosking
Hao Tang
Mirella Lapata
71
9
0
19 May 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
Yichen Zhu
Jian Yuan
Ziwei He
Tao R. Lin
Haiming Jin
Xinbing Wang
Cheng Zhou
OOD
25
1
0
18 May 2023
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
174
5
0
17 May 2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Fenghe Tang
Jianrui Ding
Lingtao Wang
Min Xian
C. Ning
DiffM
MedIm
141
13
0
16 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jing Xiao
Leonie Basso
Wolfgang Nejdl
Niloy Ganguly
Sandipan Sikdar
AI4TS
58
4
0
11 May 2023
Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes
Mina Ghadimi Atigh
Martin Keller-Ressel
Jeffrey Gu
Serena Yeung
117
44
0
11 May 2023
Analyzing Bias in Diffusion-based Face Generation Models
Malsha V. Perera
Vishal M. Patel
DiffM
73
41
0
10 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
180
75
0
10 May 2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Yaohui Wang
Xin Ma
Xinyuan Chen
A. Dantcheva
Bo Dai
Yu Qiao
DiffM
178
33
0
06 May 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Kaiwen Zheng
Cheng Lu
Jianfei Chen
Jun Zhu
DiffM
108
34
0
06 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
Samir Sadok
Simon Leglaive
Laurent Girin
Xavier Alameda-Pineda
Renaud Séguier
96
13
0
05 May 2023
Are VAEs Bad at Reconstructing Molecular Graphs?
Hagen Muenkler
Hubert Misztela
Michał Pikusa
Marwin H. S. Segler
Nadine Schneider
Krzysztof Maziarz
DRL
53
2
0
04 May 2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Seongmin Lee
Benjamin Hoover
Hendrik Strobelt
Zijie J. Wang
Sheng-Hsuan Peng
Austin P. Wright
Kevin Wenliang Li
Haekyu Park
Haoyang Yang
Duen Horng Chau
67
23
0
04 May 2023
CCIL: Context-conditioned imitation learning for urban driving
Ke Guo
Wei Jing
Junbo Chen
Jia Pan
101
10
0
04 May 2023
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
DongNyeong Heo
Heeyoul Choi
58
0
0
02 May 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Christiaan Viviers
Amaan Valiuddin
Peter H. N. de With
Fons van der Sommen
86
5
0
01 May 2023
Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education
C. Chan
Wenjie Hu
107
748
0
29 Apr 2023
IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
Rong Wu
Wanchao Su
Kede Ma
Jing Liao
114
41
0
27 Apr 2023
On Manifold Learning in Plato's Cave: Remarks on Manifold Learning and Physical Phenomena
Roy R. Lederman
B. Toader
DRL
56
4
0
27 Apr 2023
Previous
1
2
3
...
26
27
28
...
73
74
75
Next