1. Neural Diffusion Processes
    Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson
    arXiv 2022. Paper  
    2022-06-08
    2022-06-08
  2. Theory and Algorithms for Diffusion Processes on Riemannian Manifolds
    Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola
    arXiv 2022. Paper   Github  
    2022-06-01
    2022-06-01
  3. Planning with Diffusion for Flexible Behavior Synthesis
    Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine
    arxiv 2022. Paper  
    2022-05-20
    2022-05-20
  4. Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion
    Tianpei Gu1, Guangyi Chen1, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen L
    arXiv 2022. Paper  
    2022-03-25
    2022-03-25
  5. Riemannian Score-Based Generative Modeling
    Valentin De Bortoli1, Emile Mathieu1, Michael Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
    arXiv 2022. Paper  
    2022-02-06
    2022-02-06
  6. Deep Diffusion Models for Robust Channel Estimation
    Marius Arvinte, Jonathan I Tamir
    arXiv 2021. Paper   Github  
    2021-11-16
    2021-11-16
  7. Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
    Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
    arXiv 2021. Paper  
    2021-11-09
    2021-11-09
  8. Realistic galaxy image simulation via score-based generative models
    Michael J. Smith (Hertfordshire), James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau
    MNRAS 2022. Paper  
    2021-11-02
    2021-11-02
  9. Crystal Diffusion Variational Autoencoder for Periodic Material Generation
    Tian Xie1, Xiang Fu1, Octavian-Eugen Ganea1, Regina Barzilay, Tommi Jaakkol
    arXiv 2021. Paper  
    2021-10-12
    2021-10-12
  10. Diffusion models for Handwriting Generation
    Troy Luhman1, Eric Luhman1
    arXiv 2020. Paper   Github  
    2020-11-13
    2020-11-13
  11. Permutation Invariant Graph Generation via Score-Based Generative Modeling
    Chenhao Niu, Yang Song, Jiaming Song, Shengjia Zhao, Aditya Grover, Stefano Ermon
    AISTATS 2021. Paper   Github  
    2020-03-02
    2020-03-02
Counts - 11   Back to top