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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 / 3,782 papers shown
Title
Smooth InfoMax -- Towards Easier Post-Hoc Interpretability
Smooth InfoMax -- Towards Easier Post-Hoc Interpretability
Fabian Denoodt
Bart de Boer
José Oramas
176
2
0
23 Aug 2024
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Chun-Yen Shih
Li-Xuan Peng
Jia-Wei Liao
Ernie Chu
Cheng-Fu Chou
Jun-Cheng Chen
AAMLDiffM
108
1
0
21 Aug 2024
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting
Liyao Jiang
Negar Hassanpour
Mohammad Salameh
Mohan Sai Singamsetti
Fengyu Sun
Wei Lu
Di Niu
DiffM
150
2
0
21 Aug 2024
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
Andrew Kiruluta
Andreas Lemos
109
0
0
19 Aug 2024
A Markov Random Field Multi-Modal Variational AutoEncoder
A Markov Random Field Multi-Modal Variational AutoEncoder
Fouad Oubari
M. Baha
Raphael Meunier
Rodrigue Décatoire
Mathilde Mougeot
96
0
0
18 Aug 2024
Deep Generative Classification of Blood Cell Morphology
Deep Generative Classification of Blood Cell Morphology
Simon Deltadahl
J. Gilbey
C. V. Laer
Nancy Boeckx
M. Leers
...
Nicholas S. Gleadall
Carola-Bibiane Schönlieb
S. Sivapalaratnam
Michael Roberts
P. Nachev
DiffMMedIm
78
0
0
16 Aug 2024
Decoder ensembling for learned latent geometries
Decoder ensembling for learned latent geometries
Stas Syrota
Pablo Moreno-Muñoz
Søren Hauberg
DRLAI4CE
58
2
0
14 Aug 2024
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
Ouxiang Li
Jiayin Cai
Y. Hao
Xiaolong Jiang
Feng-Long Xie
Fuli Feng
AAML
79
11
0
13 Aug 2024
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
105
0
0
13 Aug 2024
GFlowNet Training by Policy Gradients
GFlowNet Training by Policy Gradients
Puhua Niu
Shili Wu
Mingzhou Fan
Xiaoning Qian
141
3
0
12 Aug 2024
Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning
Interface Laplace Learning: Learnable Interface Term Helps Semi-Supervised Learning
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
27
0
0
10 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
83
1
0
08 Aug 2024
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study
Zohaib Salahuddin
A. Ibrahim
Sheng Kuang
Y. Widaatalla
R. Miclea
...
Tom Marcelissen
Patricia Zondervan
Auke Jager
Philippe Lambin
Henry C. Woodruff
MedIm
103
1
0
07 Aug 2024
Weakly Contrastive Learning via Batch Instance Discrimination and
  Feature Clustering for Small Sample SAR ATR
Weakly Contrastive Learning via Batch Instance Discrimination and Feature Clustering for Small Sample SAR ATR
Yikui Zhai
Wenlve Zhou
Bing Sun
Jingwen Li
Qirui Ke
...
Junying Gan
Chaoyun Mai
R. D. Labati
Vincenzo Piuri
F. Scotti
74
19
0
07 Aug 2024
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion
  Methods
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods
Onkar Susladkar
Gayatri Deshmukh
Sparsh Mittal
Parth Shastri
DiffM
91
3
0
07 Aug 2024
An Object is Worth 64x64 Pixels: Generating 3D Object via Image
  Diffusion
An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion
Xingguang Yan
Han-Hung Lee
Bo Liu
Angel X. Chang
78
16
0
06 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffMAI4CE
139
5
0
06 Aug 2024
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
Dongyang Liu
Shitian Zhao
Le Zhuo
Weifeng Lin
Ping Luo
Xinyue Li
Qi Qin
Yu Qiao
Hongsheng Li
Peng Gao
MLLM
164
59
0
05 Aug 2024
Multiple Contexts and Frequencies Aggregation Network forDeepfake
  Detection
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection
Zifeng Li
Wen-Jun Tang
Shijun Gao
Shuai Wang
Yanxiang Wang
CVBM
111
2
0
03 Aug 2024
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
GLDiTalker: Speech-Driven 3D Facial Animation with Graph Latent Diffusion Transformer
Yihong Lin
Zhaoxin Fan
Lingyu Xiong
Liang Peng
Xiandong Li
Xiandong Li
Wenxiong Kang
Xiandong Li
Huang Xu
135
3
0
03 Aug 2024
On the Relationship Between Monotone and Squared Probabilistic Circuits
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang
Guy Van den Broeck
TPM
126
7
0
01 Aug 2024
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
Zhuoyuan Li
Bin Dong
Linyue Chu
132
1
0
31 Jul 2024
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Tora: Trajectory-oriented Diffusion Transformer for Video Generation
Zhenghao Zhang
Junchao Liao
Menghao Li
Zuozhuo Dai
Bingxue Qiu
Hao Hu
Shaowei Cai
Weizhi Wang
VGen
171
57
0
31 Jul 2024
Distribution-Aware Replay for Continual MRI Segmentation
Distribution-Aware Replay for Continual MRI Segmentation
Nick Lemke
Camila González
Anirban Mukhopadhyay
Martin Mundt
OOD
82
0
0
30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
Yunfeng Diao
Na Zhai
Changtao Miao
Xun Yang
Meng Wang
Xun Yang
Meng Wang
AAML
162
2
0
30 Jul 2024
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
Bernard Lange
Masha Itkina
Jiachen Li
Mykel J. Kochenderfer
107
4
0
30 Jul 2024
Importance Corrected Neural JKO Sampling
Importance Corrected Neural JKO Sampling
Johannes Hertrich
Robert Gruhlke
102
2
0
29 Jul 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OODTTA
155
7
0
28 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffMMQ
109
0
0
28 Jul 2024
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Chengan He
Xin Sun
Zhixin Shu
Fujun Luan
Soren Pirk
...
D. L. Michels
Tuanfeng Y. Wang
Meng Zhang
Holly Rushmeier
Yi Zhou
3DH
126
5
0
28 Jul 2024
Long Range Switching Time Series Prediction via State Space Model
Long Range Switching Time Series Prediction via State Space Model
Jiaming Zhang
Yang Ding
Yunfeng Gao
81
0
0
27 Jul 2024
Small Molecule Optimization with Large Language Models
Small Molecule Optimization with Large Language Models
Philipp Guevorguian
Menua Bedrosian
Tigran Fahradyan
Gayane Chilingaryan
Hrant Khachatrian
Armen Aghajanyan
73
1
0
26 Jul 2024
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
Lei Guo
Wei Chen
Yuxuan Sun
Bo Ai
Nikolaos Pappas
T. Quek
DiffM
148
6
0
26 Jul 2024
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Jakob Benjamin Wessel
Christopher A. T. Ferro
Gavin R. Evans
F. Kwasniok
132
3
0
22 Jul 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan
Samuele Papa
Karl Henrik Johansson
Stefan Bauer
Andrea Dittadi
OCL
170
9
0
22 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
233
1
0
22 Jul 2024
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models
Zheng Chong
Xiao Dong
Haoxiang Li
Shiyue Zhang
Wenqing Zhang
Xujie Zhang
Hanqing Zhao
D. Jiang
Xiaodan Liang
DiffM
136
24
0
21 Jul 2024
Diffusion Models as Data Mining Tools
Diffusion Models as Data Mining Tools
Ioannis Siglidis
Aleksander Holynski
Alexei A. Efros
Mathieu Aubry
Shiry Ginosar
DiffMMedIm
93
3
0
20 Jul 2024
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed
  Segmentation in Precision Farming
Shape and Style GAN-based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming
Mulham Fawakherji
Vincenzo Suriani
Daniele Nardi
D. Bloisi
39
12
0
19 Jul 2024
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models
Nan Lin
Peter Palensky
Pedro P. Vergara
DiffM
93
0
0
18 Jul 2024
Quantised Global Autoencoder: A Holistic Approach to Representing Visual
  Data
Quantised Global Autoencoder: A Holistic Approach to Representing Visual Data
Tim Elsner
Paula Usinger
Victor Czech
Gregor Kobsik
Yanjiang He
I. Lim
Leif Kobbelt
64
2
0
16 Jul 2024
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
Weiheng Yao
Shuqiang Wang
Mufti Mahmud
Ning Zhong
Baiying Lei
Shuqiang Wang
MedImDiffM
74
6
0
16 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
118
3
0
15 Jul 2024
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon
  Neutral Optimization
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization
Yuyang Ye
Lu-An Tang
Haoyu Wang
Runlong Yu
Wenchao Yu
Erhu He
Haifeng Chen
Hui Xiong
53
1
0
12 Jul 2024
Autoregressive Speech Synthesis without Vector Quantization
Autoregressive Speech Synthesis without Vector Quantization
Lingwei Meng
Long Zhou
Shujie Liu
Sanyuan Chen
Bing Han
...
Jinyu Li
Sheng Zhao
Xixin Wu
Helen M. Meng
Furu Wei
152
43
0
11 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
66
3
0
09 Jul 2024
Gaussian Eigen Models for Human Heads
Gaussian Eigen Models for Human Heads
Wojciech Zielonka
Timo Bolkart
Thabo Beeler
Justus Thies
3DGS
184
5
0
05 Jul 2024
A mathematical framework of intelligence and consciousness based on
  Riemannian Geometry
A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Meng Lu
AI4CE
93
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A Pattern Language for Machine Learning Tasks
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz
Ian Fan
Tuomas Laakkonen
Neil John Ortega
Thomas Hoffman
Vincent Wang-Ma'scianica
118
3
0
02 Jul 2024
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference
Xiaoyu Jiang
Sokratia Georgaka
Magnus Rattray
Mauricio A. Alvarez
69
0
0
02 Jul 2024
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