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DSAI (including Machine Learning, NLP and Computer Vision) Reading Series
Flow Matching – Part I
Papers
:
Flow Matching for Generative Modeling
Venue
: FSE-4RPD-312
Time
: 10:00 am, 29 Oct 2024
Presenter
: Xuhui Fan
Bayesian optimization, SDEDrag
Papers
:
Vanilla Bayesian Optimization Performs Great in High Dimensions
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Venue
: FSE-4RPD-312
Time
: 10:00 am, 22 Oct 2024
Presenter
: Hui Chen, Xuhui Fan
Scalable Diffusion Models with Transformers
Papers
:
Scalable Diffusion Models with Transformers
Venue
: FSE-4RPD-312
Time
: 10:00 am, 15 Oct 2024
Presenter
: Xiaomin Wu
Time Series, diffusion model
Papers
:
Rethinking Fourier Transform for Long-term Time Series Forecasting: A Basis Functions Perspective
Classifier-free diffusion model
Venue
: FSE-4RPD-312
Time
: 10:00 am, 8 Oct 2024
Presenter
: Runze Yang, Xuhui Fan
Bayesian Neural Networks
Papers
:
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Venue
: FSE-4RPD-312
Time
: 10:00 am, 17 Sep 2024
Presenter
: Hui Chen
Time series prediction, outlier detection, recommendation systems
Papers
:
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Diffusion Models for Generative Outfit Recommendation
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
Venue
: FSE-4RPD-312
Time
: 10:00 am, 3 September 2024
Presenter
: Runze Yang, Zhangkai Wu, Jianbo Zheng
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