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1806.00035
Cited By
Assessing Generative Models via Precision and Recall
31 May 2018
Mehdi S. M. Sajjadi
Olivier Bachem
Mario Lucic
Olivier Bousquet
Sylvain Gelly
EGVM
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Papers citing
"Assessing Generative Models via Precision and Recall"
50 / 346 papers shown
Title
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Marco Jiralerspong
A. Bose
I. Gemp
Chongli Qin
Yoram Bachrach
Gauthier Gidel
EGVM
24
5
0
09 Feb 2023
Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design
Lyle Regenwetter
Akash Srivastava
Dan Gutfreund
Faez Ahmed
16
28
0
06 Feb 2023
Training Normalizing Flows with the Precision-Recall Divergence
Alexandre Verine
Benjamin Négrevergne
Muni Sreenivas Pydi
Y. Chevaleyre
29
1
0
01 Feb 2023
Learning Data Representations with Joint Diffusion Models
Kamil Deja
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
22
15
0
31 Jan 2023
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
Mengyun Qiao
Shuo Wang
Huaqi Qiu
A. de Marvao
D. O’Regan
Daniel Rueckert
Wenjia Bai
MedIm
26
14
0
30 Jan 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
Biao Zhang
Jiapeng Tang
Matthias Niessner
Peter Wonka
DiffM
25
196
0
26 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Emanuele Aiello
D. Valsesia
E. Magli
DiffM
22
4
0
19 Jan 2023
Masked Vector Quantization
David D. Nguyen
David Leibowitz
Surya Nepal
S. Kanhere
MQ
13
0
0
16 Jan 2023
Large Scale Qualitative Evaluation of Generative Image Model Outputs
Yannick Assogba
Adam Pearce
Madison Elliott
EGVM
31
6
0
11 Jan 2023
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
35
21
0
30 Dec 2022
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty
Genki Osada
Tsubasa Takahashi
Budrul Ahsan
Takashi Nishide
OODD
14
13
0
24 Dec 2022
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries
N. Veeraragavan
J. Nygaard
6
2
0
03 Dec 2022
3D Neural Field Generation using Triplane Diffusion
J. Shue
E. R. Chan
Ryan Po
Zachary Ankner
Jiajun Wu
Gordon Wetzstein
DiffM
42
232
0
30 Nov 2022
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora
George Kour
Samuel Ackerman
Orna Raz
E. Farchi
Boaz Carmeli
Ateret Anaby-Tavor
34
10
0
29 Nov 2022
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
Shichong Peng
Alireza Moazeni
Ke Li
DiffM
25
2
0
25 Nov 2022
Exploring validation metrics for offline model-based optimisation with diffusion models
Christopher Beckham
Alexandre Piché
David Vazquez
Christopher Pal
OffRL
22
1
0
19 Nov 2022
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
Guy Ohayon
Theo Adrai
Michael Elad
T. Michaeli
AAML
29
13
0
16 Nov 2022
Creative divergent synthesis with generative models
Axel Chemla-Romeu-Santos
P. Esling
14
1
0
16 Nov 2022
StyleNAT: Giving Each Head a New Perspective
Steven Walton
Ali Hassani
Xingqian Xu
Zhangyang Wang
Humphrey Shi
ViT
31
22
0
10 Nov 2022
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
Devesh Shah
Anirudh Suresh
Alemayehu S. Admasu
Devesh Upadhyay
Kalyanmoy Deb
20
1
0
03 Nov 2022
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective
Bingyang Wen
K. P. Subbalakshmi
Fan Yang
FAtt
8
6
0
31 Oct 2022
Few-shot Image Generation via Masked Discrimination
Jin Zhu
Huimin Ma
Jiansheng Chen
Jian Yuan
25
12
0
27 Oct 2022
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram
A. Kazemi
Hadi Meidani
AI4TS
8
0
0
21 Oct 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences
Natavsa Tagasovska
Nathan C. Frey
Andreas Loukas
I. Hotzel
J. Lafrance-Vanasse
...
A. Rajpal
Richard Bonneau
Kyunghyun Cho
Stephen Ra
Vladimir Gligorijević
8
11
0
19 Oct 2022
Autoregressive Generative Modeling with Noise Conditional Maximum Likelihood Estimation
Henry Li
Y. Kluger
27
2
0
19 Oct 2022
Improving GANs with a Feature Cycling Generator
Seung-won Park
Y. Shin
16
0
0
18 Oct 2022
Evaluation of the Synthetic Electronic Health Records
E. Muller
Xu Zheng
Jer Hayes
ELM
12
1
0
16 Oct 2022
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
49
104
0
11 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman
Adji Bousso Dieng
EGVM
80
108
0
05 Oct 2022
Training Normalizing Flows from Dependent Data
Matthias Kirchler
C. Lippert
Marius Kloft
TPM
16
2
0
29 Sep 2022
Optimization of Annealed Importance Sampling Hyperparameters
Shirin Goshtasbpour
F. Pérez-Cruz
21
1
0
27 Sep 2022
StyleTime: Style Transfer for Synthetic Time Series Generation
Yousef El-Laham
Svitlana Vyetrenko
AI4TS
21
5
0
22 Sep 2022
A Geometric Perspective on Variational Autoencoders
Clément Chadebec
S. Allassonnière
DRL
24
21
0
15 Sep 2022
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wanshu Fan
Yen-Chun Chen
Dongdong Chen
Yu Cheng
Lu Yuan
Yu-Chiang Frank Wang
DiffM
20
90
0
29 Aug 2022
How good are deep models in understanding the generated images?
Ali Borji
OOD
21
6
0
23 Aug 2022
Demystifying Randomly Initialized Networks for Evaluating Generative Models
Junghyuk Lee
Jun-Hyuk Kim
Jong-Seok Lee
EGVM
22
0
0
19 Aug 2022
Symbolic Music Loop Generation with Neural Discrete Representations
Sangjun Han
H. Ihm
Moontae Lee
Woohyung Lim
16
8
0
11 Aug 2022
DP
2
^2
2
-VAE: Differentially Private Pre-trained Variational Autoencoders
Dihong Jiang
Guojun Zhang
Mahdi Karami
Xi Chen
Yunfeng Shao
Yaoliang Yu
38
15
0
05 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
Eui-Jin Kim
P. Bansal
17
15
0
01 Aug 2022
A Proposal for Foley Sound Synthesis Challenge
Keunwoo Choi
Sangshin Oh
Minsung Kang
Brian McFee
21
11
0
21 Jul 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
Thibaut Issenhuth
Ugo Tanielian
Jérémie Mary
David Picard
GAN
DRL
21
2
0
21 Jul 2022
GEMS: Scene Expansion using Generative Models of Graphs
Rishi G. Agarwal
Tirupati Saketh Chandra
Vaidehi Patil
Aniruddha Mahapatra
K. Kulkarni
Vishwa Vinay
30
4
0
08 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona
Valentin De Bortoli
J. Delon
A. Desolneux
DiffM
27
35
0
29 Jun 2022
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang
Joonghyuk Shin
Jaesik Park
EGVM
11
67
0
19 Jun 2022
Detecting Adversarial Examples in Batches -- a geometrical approach
Danush Kumar Venkatesh
Peter Steinbach
AAML
11
2
0
17 Jun 2022
MoDi: Unconditional Motion Synthesis from Diverse Data
Sigal Raab
Inbal Leibovitch
Peizhuo Li
Kfir Aberman
O. Sorkine-Hornung
Daniel Cohen-Or
DiffM
19
54
0
16 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features
Hamed Shirzad
Kaveh Hassani
Danica J. Sutherland
14
7
0
13 Jun 2022
Why is constrained neural language generation particularly challenging?
Cristina Garbacea
Qiaozhu Mei
59
14
0
11 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
Kamil Deja
Anna Kuzina
Tomasz Trzciñski
Jakub M. Tomczak
DiffM
24
25
0
31 May 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation
Tiago Pimentel
Clara Meister
Ryan Cotterell
38
7
0
31 May 2022
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