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CARD: Classification and Regression Diffusion Models

CARD: Classification and Regression Diffusion Models

15 June 2022
Xizewen Han
Huangjie Zheng
Mingyuan Zhou
    DiffM
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Papers citing "CARD: Classification and Regression Diffusion Models"

50 / 74 papers shown
Title
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
Conditional Diffusion-Based Retrieval of Atmospheric CO2 from Earth Observing Spectroscopy
William R. Keely
Otto Lamminpää
Steffen Mauceri
Sean M. R. Crowell
Christopher W. O'Dell
Gregory R. McGarragh
42
0
0
23 Apr 2025
Diffusion models applied to skin and oral cancer classification
Diffusion models applied to skin and oral cancer classification
José J. M. Uliana
Renato A. Krohling
DiffM
MedIm
42
0
0
28 Mar 2025
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
Erjian Guo
Zhen Zhao
Zicheng Wang
Tong Chen
Yunyi Liu
Luping Zhou
DiffM
MedIm
48
0
0
24 Mar 2025
An Image-like Diffusion Method for Human-Object Interaction Detection
An Image-like Diffusion Method for Human-Object Interaction Detection
Xiaofei Hui
Haoxuan Qu
Hossein Rahmani
Jun Liu
DiffM
45
0
0
23 Mar 2025
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
Jianwei Zhao
Xin Li
Fan Yang
Qiang Zhai
Ao Luo
Yang Zhao
Hong-wei Cheng
Huazhu Fu
DiffM
MedIm
45
0
0
16 Mar 2025
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Yimin Zhu
Linlin Xu
DiffM
42
1
0
27 Feb 2025
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
Structure-prior Informed Diffusion Model for Graph Source Localization with Limited Data
Hongyi Chen
Jingtao Ding
Xiaojun Liang
Yong Li
Xiao-Ping Zhang
DiffM
71
0
0
25 Feb 2025
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 Feb 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen
Shuhong Xiao
Shixian Ding
Shanhai Hu
Lingyun Sun
60
0
0
10 Feb 2025
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
David Perera
Victor Letzelter
Théo Mariotte
Adrien Cortés
Mickaël Chen
S. Essid
Ga¨el Richard
60
2
0
20 Jan 2025
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
Daojun Liang
Haixia Zhang
Dongfeng Yuan
UQCV
57
0
0
08 Jan 2025
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Chengyou Jia
Minnan Luo
Zhuohang Dang
Guangwen Dai
Xiao Chang
J. Wang
DiffM
41
1
0
31 Dec 2024
Comparative Analysis of Diffusion Generative Models in Computational
  Pathology
Comparative Analysis of Diffusion Generative Models in Computational Pathology
Denisha Thakkar
Vincent Quoc-Huy Trinh
Sonal Varma
Samira Ebrahimi Kahou
Hassan Rivaz
Mahdi S. Hosseini
MedIm
62
0
0
24 Nov 2024
Supervised Score-Based Modeling by Gradient Boosting
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao
Hongyang Du
Guangyuan Liu
Dusit Niyato
DiffM
34
0
0
02 Nov 2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty
  Quantification in Deep Learning
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning
Nils Lehmann
Jakob Gawlikowski
Adam J. Stewart
Vytautas Jancauskas
Stefan Depeweg
Eric T. Nalisnick
N. Gottschling
32
0
0
04 Oct 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to
  Forecast Multivariate Time Series
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
Muyao Wang
Wenchao Chen
Zhibin Duan
Bo Chen
AI4TS
DiffM
25
0
0
27 Sep 2024
Anisotropic Diffusion Probabilistic Model for Imbalanced Image
  Classification
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
Jingyu Kong
Yuan Guo
Yu Wang
Yuping Duan
DiffM
MedIm
21
0
0
22 Sep 2024
Timeline and Boundary Guided Diffusion Network for Video Shadow
  Detection
Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
Haipeng Zhou
Honqiu Wang
Tian-Chun Ye
Zhaohu Xing
Jun Ma
Ping Li
Qiong Wang
Lei Zhu
DiffM
27
6
0
21 Aug 2024
Leveraging Priors via Diffusion Bridge for Time Series Generation
Leveraging Priors via Diffusion Bridge for Time Series Generation
Jinseong Park
Seungyun Lee
Woojin Jeong
Yujin Choi
Jaewook Lee
DiffM
23
0
0
13 Aug 2024
LLDif: Diffusion Models for Low-light Emotion Recognition
LLDif: Diffusion Models for Low-light Emotion Recognition
Zhifeng Wang
Kaihao Zhang
Ramesh Sankaranarayana
29
0
0
08 Aug 2024
Diffusion Models for Multi-Task Generative Modeling
Diffusion Models for Multi-Task Generative Modeling
Changyou Chen
Han Ding
Bunyamin Sisman
Yi Tian Xu
Ouye Xie
Benjamin Z. Yao
Son Dinh Tran
Belinda Zeng
DiffM
26
0
0
24 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical
  Network
This Probably Looks Exactly Like That: An Invertible Prototypical Network
Zachariah Carmichael
Timothy Redgrave
Daniel Gonzalez Cedre
Walter J. Scheirer
BDL
12
2
0
16 Jul 2024
Confidence interval estimation of mixed oil length with conditional
  diffusion model
Confidence interval estimation of mixed oil length with conditional diffusion model
Yanfeng Yang
Lihong Zhang
Ziqi Chen
Miaomiao Yu
Lei Chen
18
0
0
19 Jun 2024
ARTIST: Improving the Generation of Text-rich Images by Disentanglement
ARTIST: Improving the Generation of Text-rich Images by Disentanglement
Jianyi Zhang
Yufan Zhou
Jiuxiang Gu
Curtis Wigington
Tong Yu
Yiran Chen
Tong Sun
Ruiyi Zhang
63
0
0
17 Jun 2024
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Adding Conditional Control to Diffusion Models with Reinforcement Learning
Yulai Zhao
Masatoshi Uehara
Gabriele Scalia
Tommaso Biancalani
Sergey Levine
Ehsan Hajiramezanali
Ehsan Hajiramezanali
AI4CE
52
3
0
17 Jun 2024
An Analysis on Quantizing Diffusion Transformers
An Analysis on Quantizing Diffusion Transformers
Yuewei Yang
Jialiang Wang
Xiaoliang Dai
Peizhao Zhang
Hongbo Zhang
MQ
23
1
0
16 Jun 2024
Treeffuser: Probabilistic Predictions via Conditional Diffusions with
  Gradient-Boosted Trees
Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees
Nicolas Beltran-Velez
Alessandro Antonio Grande
Achille Nazaret
A. Kucukelbir
David M. Blei
18
3
0
11 Jun 2024
Diffusion Boosted Trees
Diffusion Boosted Trees
Xizewen Han
Mingyuan Zhou
AI4CE
18
0
0
03 Jun 2024
Towards Precision Healthcare: Robust Fusion of Time Series and Image
  Data
Towards Precision Healthcare: Robust Fusion of Time Series and Image Data
Ali Rasekh
Reza Heidari
Amir Hosein Haji Mohammad Rezaie
Parsa Sharifi Sedeh
Zahra Ahmadi
Prasenjit Mitra
Wolfgang Nejdl
AI4TS
11
2
0
24 May 2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel
  Search and Subsampling
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
Shifan Zhao
Jiaying Lu
Carl Yang
Edmond Chow
Yuanzhe Xi
24
1
0
22 May 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang
Ming Jin
Haomin Wen
Chaoli Zhang
Yuxuan Liang
...
Bin Yang
Zenglin Xu
Jiang Bian
Shirui Pan
Qingsong Wen
DiffM
AI4TS
SyDa
23
7
0
29 Apr 2024
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite
  Data
Uncertainty Aware Tropical Cyclone Wind Speed Estimation from Satellite Data
Nils Lehmann
N. Gottschling
Stefan Depeweg
Eric T. Nalisnick
21
1
0
12 Apr 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from
  Partially Annotated Data
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye
Dan Xu
DiffM
37
4
0
22 Mar 2024
DiffSF: Diffusion Models for Scene Flow Estimation
DiffSF: Diffusion Models for Scene Flow Estimation
Yushan Zhang
Bastian Wandt
Maria Magnusson
Michael Felsberg
DiffM
40
1
0
08 Mar 2024
Towards Aligned Layout Generation via Diffusion Model with Aesthetic
  Constraints
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints
Jian Chen
Ruiyi Zhang
Yufan Zhou
Rajiv Jain
Zhiqiang Xu
Ryan A. Rossi
Changyou Chen
DiffM
34
11
0
07 Feb 2024
Diffusion Cross-domain Recommendation
Diffusion Cross-domain Recommendation
Yuner Xuan
DiffM
19
3
0
03 Feb 2024
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and
  Authentication
DiffVein: A Unified Diffusion Network for Finger Vein Segmentation and Authentication
Yanjun Liu
Wenming Yang
Qingmin Liao
DiffM
10
2
0
03 Feb 2024
ROIC-DM: Robust Text Inference and Classification via Diffusion Model
ROIC-DM: Robust Text Inference and Classification via Diffusion Model
Shilong Yuan
Wei Yuan
Hongzhi Yin
Tieke He
DiffM
18
1
0
07 Jan 2024
Tractable Function-Space Variational Inference in Bayesian Neural
  Networks
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner
Zonghao Chen
Yee Whye Teh
Y. Gal
55
39
0
28 Dec 2023
A framework for conditional diffusion modelling with applications in
  motif scaffolding for protein design
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design
Kieran Didi
Francisco Vargas
Simon V. Mathis
Vincent Dutordoir
Emile Mathieu
U. J. Komorowska
Pietro Lió
DiffM
19
13
0
14 Dec 2023
SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction
  Based on Multi-Scale Fusion of Anatomical Structures, Guided by
  SwinTransformer and Projector
SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector
Linjie Fu
Xia Li
Xiuding Cai
Yingkai Wang
Xueyao Wang
Yu Yao
Y. Shen
MedIm
20
3
0
11 Dec 2023
MDFL: Multi-domain Diffusion-driven Feature Learning
MDFL: Multi-domain Diffusion-driven Feature Learning
Daixun Li
Weiying Xie
Jiaqing Zhang
Yunsong Li
DiffM
30
8
0
16 Nov 2023
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and
  Multi-Clients
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
Daixun Li
Weiying Xie
Zixuan Wang
YiBing Lu
Yunsong Li
Leyuan Fang
FedML
DiffM
31
16
0
16 Nov 2023
Sampler Scheduler for Diffusion Models
Sampler Scheduler for Diffusion Models
Zitong Cheng
DiffM
15
2
0
12 Nov 2023
Add and Thin: Diffusion for Temporal Point Processes
Add and Thin: Diffusion for Temporal Point Processes
David Ludke
Marin Bilovs
Oleksandr Shchur
Marten Lienen
Stephan Günnemann
DiffM
22
13
0
02 Nov 2023
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha
Dong Gong
He Zhao
Lina Yao
CLL
BDL
21
12
0
30 Oct 2023
Improving Robustness and Reliability in Medical Image Classification
  with Latent-Guided Diffusion and Nested-Ensembles
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles
Xing Shen
Hengguan Huang
Brennan Nichyporuk
Tal Arbel
MedIm
23
3
0
24 Oct 2023
Imitation Learning from Purified Demonstration
Imitation Learning from Purified Demonstration
Yunke Wang
Minjing Dong
Bo Du
Chang Xu
18
1
0
11 Oct 2023
Investigating the Adversarial Robustness of Density Estimation Using the
  Probability Flow ODE
Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODE
Marius Arvinte
Cory Cornelius
Jason Martin
N. Himayat
DiffM
31
3
0
10 Oct 2023
ACT-Net: Anchor-context Action Detection in Surgery Videos
ACT-Net: Anchor-context Action Detection in Surgery Videos
Luoying Hao
Yan Hu
Wenjun Lin
Qun Wang
Heng Li
Huazhu Fu
Jinming Duan
Jiang-Dong Liu
MedIm
21
3
0
05 Oct 2023
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