1. RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation
    Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke
    arXiv 2023. Paper  
    2023-06-15
    2023-06-15
  2. Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
    Si Zuo, Vitor Fortes Rey, Sungho Suh, Stephan Sigg, Paul Lukowicz
    arXiv 2023. Paper  
    2023-05-30
    2023-05-30
  3. Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics
    Yiqun Duan, Jinzhao Zhou, Zhen Wang, Yu-Cheng Chang, Yu-Kai Wang, Chin-Teng Lin
    arXiv 2023. Paper  
    2023-05-07
    2023-05-07
  4. Conditional Denoising Diffusion for Sequential Recommendation
    Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
    arXiv 2023. Paper  
    2023-04-22
    2023-04-22
  5. Diffusion Recommender Model
    Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
    SIGIR 2023. Paper  
    2023-04-11
    2023-04-11
  6. Sequential Recommendation with Diffusion Models
    Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou
    arXiv 2023. Paper  
    2023-04-10
    2023-04-10
  7. DiffuRec: A Diffusion Model for Sequential Recommendation
    Zihao Li, Aixin Sun, Chenliang Li
    arXiv 2023. Paper  
    2023-04-03
    2023-04-03
  8. EEG Synthetic Data Generation Using Probabilistic Diffusion Models
    Giulio Tosato, Cesare M. Dalbagno, Francesco Fumagalli
    Synapsium 2023. Paper  
    2023-03-06
    2023-03-06
  9. DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal
    Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li
    IEEE JBHI 2023. Paper  
    2022-07-31
    2022-07-31
  10. Recommendation via Collaborative Diffusion Generative Model
    Joojo Walker, Ting Zhong, Fengli Zhang, Qiang Gao, Fan Zhou
    KSEM 2022. Paper  
    2022-07-19
    2022-07-19
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