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2103.04922
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Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
8 March 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
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Papers citing
"Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models"
50 / 185 papers shown
Title
Noise Optimized Conditional Diffusion for Domain Adaptation
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12 May 2025
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
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Qinglin Zhao
Mengchu Zhou
Zhimin He
Haozhen Situ
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08 May 2025
Surrogate modeling of Cellular-Potts Agent-Based Models as a segmentation task using the U-Net neural network architecture
Tien Comlekoglu
J. Q. Toledo-Marín
Tina Comlekoglu
Douglas W. DeSimone
Shayn M. Peirce
Geoffrey C. Fox
J. Glazier
56
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0
01 May 2025
Simple Visual Artifact Detection in Sora-Generated Videos
Misora Sugiyama
Hirokatsu Kataoka
EGVM
56
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30 Apr 2025
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
64
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29 Apr 2025
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo
Michelle Adeline
Julia Kaiwen Lau
Fang Yu Leong
Hwa Hui Tew
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
BDL
61
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22 Apr 2025
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
Yimeng Bai
Shunyu Zhang
Y. Zhang
Hu Liu
Wentian Bao
Enyun Yu
Fuli Feng
Wenwu Ou
30
0
0
19 Apr 2025
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
Ruijie Wang
Luca Rossetto
Susan Mérillat
Christina Röcke
Mike Martin
Abraham Bernstein
DiffM
MedIm
54
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0
15 Apr 2025
Computer-Aided Layout Generation for Building Design: A Review
Jiachen Liu
Yuan Xue
Haomiao Ni
Rui Yu
Zihan Zhou
S. X. Huang
3DV
AI4CE
72
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0
13 Apr 2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
MedIm
36
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0
10 Apr 2025
A friendly introduction to triangular transport
M. Ramgraber
Daniel Sharp
M. Le Provost
Youssef Marzouk
58
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0
27 Mar 2025
Double Blind Imaging with Generative Modeling
Brett Levac
A. Jalal
Kannan Ramchandran
Jonathan I. Tamir
DiffM
MedIm
57
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0
27 Mar 2025
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models
Lu Cheng
Qixiu Zhang
Beibei Xu
Zhiwei Huang
C. Zhang
Yanan Lyu
Fan Zhang
14
0
0
26 Mar 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
72
0
0
17 Mar 2025
Noise Synthesis for Low-Light Image Denoising with Diffusion Models
Liying Lu
Raphaël Achddou
Sabine Süsstrunk
DiffM
52
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0
14 Mar 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
Lingkun Luo
Shiqiang Hu
Liming Luke Chen
78
0
0
10 Feb 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance
Christophe Vauthier
Quentin Mérigot
Anna Korba
34
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0
10 Feb 2025
EDSep: An Effective Diffusion-Based Method for Speech Source Separation
Jinwei Dong
Xinsheng Wang
Qirong Mao
63
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Synthesizing Forestry Images Conditioned on Plant Phenotype Using a Generative Adversarial Network
Debasmita Pal
Arun Ross
GAN
73
1
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17 Jan 2025
Dataset Augmentation by Mixing Visual Concepts
Abdullah Al Rahat
Hemanth Venkateswara
DiffM
68
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0
19 Dec 2024
Strategic Application of AIGC for UAV Trajectory Design: A Channel Knowledge Map Approach
Chiya Zhang
Ting Wang
Rubing Han
Yuanxiang Gong
91
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30 Nov 2024
Expert-elicitation method for non-parametric joint priors using normalizing flows
F. Bockting
Stefan T. Radev
Paul-Christian Burkner
BDL
88
1
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24 Nov 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution
Jinbo Wang
Ruijin Wang
Fengli Zhang
FedML
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24
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Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
22
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0
21 Oct 2024
Boardwalk Empire: How Generative AI is Revolutionizing Economic Paradigms
Subramanyam Sahoo
Kamlesh Dutta
28
1
0
19 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang
Zeyu Lu
Di Huang
Cai Zhou
Wanli Ouyang
and Lei Bai
69
3
0
17 Oct 2024
DaDiff: Domain-aware Diffusion Model for Nighttime UAV Tracking
Haobo Zuo
Changhong Fu
Guangze Zheng
L. Yao
Kunhan Lu
Jia-Yu Pan
26
0
0
16 Oct 2024
Diffusion Models Need Visual Priors for Image Generation
Xiaoyu Yue
Zidong Wang
Zeyu Lu
S. Sun
Meng Wei
Wanli Ouyang
Lei Bai
Luping Zhou
VLM
43
1
0
11 Oct 2024
Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation
Olga Glazunova
Cecile J. A. Wolfs
Frank Verhaegen
MedIm
14
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17 Sep 2024
Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation
Noah Buchanan
Susan Gauch
Quan Mai
DiffM
VLM
20
1
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A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization
Aron Brenner
Rahman Khorramfar
Jennifer Sun
Saurabh Amin
21
0
0
05 Sep 2024
Generative AI in Industrial Machine Vision -- A Review
H. Zhou
Dominik Wolfschlager
Constantinos Florides
Jonas Werheid
Hannes Behnen
Jan-Henrick Woltersmann
Tiago C. Pinto
Marco Kemmerling
Anas Abdelrazeq
Robert H. Schmitt
23
3
0
20 Aug 2024
Unsupervised Composable Representations for Audio
Giovanni Bindi
P. Esling
DiffM
OCL
CoGe
26
0
0
19 Aug 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo
Michelle Adeline
Arghya Pal
Vishnu Monn Baskaran
Chee-Ming Ting
Raphaël C.-W. Phan
DiffM
20
0
0
21 Jul 2024
Improving ensemble extreme precipitation forecasts using generative artificial intelligence
Yingkai Sha
R. Sobash
David John Gagne II
25
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Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning
Jiawei Zhan
Jinxiang Lai
Bin-Bin Gao
Jun Liu
Xiaochen Chen
Chengjie Wang
27
1
0
02 Jul 2024
A Pattern Language for Machine Learning Tasks
Benjamin Rodatz
Ian Fan
Tuomas Laakkonen
Neil John Ortega
Thomas Hoffman
Vincent Wang-Ma'scianica
56
3
0
02 Jul 2024
Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
Abril Corona-Figueroa
Hubert P. H. Shum
Chris G. Willcocks
16
0
0
26 Jun 2024
Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
Aghiles Kebaili
J. Lapuyade-Lahorgue
Pierre Vera
S. Ruan
MedIm
31
0
0
17 Jun 2024
Generative vs. Discriminative modeling under the lens of uncertainty quantification
Elouan Argouarc'h
François Desbouvries
Eric Barat
Eiji Kawasaki
UQCV
18
1
0
13 Jun 2024
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
Fabio A. Faria
Mateus M. Souza
R. F. D. S. Teixeira
Maurício Pamplona Segundo
34
0
0
30 May 2024
Poisson Variational Autoencoder
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
35
2
0
23 May 2024
Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimization
Zhibo Chen
Heming Sun
Li Zhang
Fan Zhang
38
3
0
23 May 2024
Physics-informed generative neural networks for RF propagation prediction with application to indoor body perception
Federica Fieramosca
V. Rampa
Michele DÁmico
S. Savazzi
AI4CE
24
1
0
03 May 2024
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol
Wei-Han Wang
Chin-Yuan Yeh
Hsi-Wen Chen
De-Nian Yang
Ming-Syan Chen
25
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01 May 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests
Susanne Dandl
Kristin Blesch
Timo Freiesleben
Gunnar Konig
Jan Kapar
B. Bischl
Marvin N. Wright
AAML
27
5
0
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PhonologyBench: Evaluating Phonological Skills of Large Language Models
Ashima Suvarna
Harshita Khandelwal
Nanyun Peng
LM&MA
29
2
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03 Apr 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Yuanbang Liang
Bhavesh Garg
Paul L. Rosin
Yipeng Qin
EGVM
37
1
0
22 Mar 2024
Do Generated Data Always Help Contrastive Learning?
Yifei Wang
Jizhe Zhang
Yisen Wang
DiffM
16
22
0
19 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao
Yi-Chen Lo
Chia-Che Chang
Hao-Wei Chen
Roy Tseng
Chien Feng
Chun-Yi Lee
SupR
14
4
0
16 Mar 2024
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