Summary of Gud: Generation with Unified Diffusion, by Mathis Gerdes et al.
GUD: Generation with Unified Diffusionby Mathis Gerdes, Max Welling, Miranda C. N. ChengFirst submitted to…
Summary of Extracting Training Data From Unconditional Diffusion Models, by Yunhao Chen et al.
Extracting Training Data from Unconditional Diffusion Modelsby Yunhao Chen, Shujie Wang, Difan Zou, Xingjun MaFirst…
Summary of Saflex: Self-adaptive Augmentation Via Feature Label Extrapolation, by Mucong Ding et al.
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolationby Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh,…
Summary of Local Flow Matching Generative Models, by Chen Xu et al.
Local Flow Matching Generative Modelsby Chen Xu, Xiuyuan Cheng, Yao XieFirst submitted to arxiv on:…
Summary of Convergence Of Score-based Discrete Diffusion Models: a Discrete-time Analysis, by Zikun Zhang et al.
Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysisby Zikun Zhang, Zixiang Chen, Quanquan GuFirst…
Summary of Simplicity Bias and Optimization Threshold in Two-layer Relu Networks, by Etienne Boursier and Nicolas Flammarion
Simplicity bias and optimization threshold in two-layer ReLU networksby Etienne Boursier, Nicolas FlammarionFirst submitted to…
Summary of Eliminating Oversaturation and Artifacts Of High Guidance Scales in Diffusion Models, by Seyedmorteza Sadat et al.
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Modelsby Seyedmorteza Sadat, Otmar Hilliges,…
Summary of Channel-aware Contrastive Conditional Diffusion For Multivariate Probabilistic Time Series Forecasting, by Siyang Li et al.
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecastingby Siyang Li, Yize Chen, Hui…
Summary of Ec-dit: Scaling Diffusion Transformers with Adaptive Expert-choice Routing, by Haotian Sun et al.
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routingby Haotian Sun, Tao Lei, Bowen Zhang, Yanghao…
Summary of Posterior Sampling Via Langevin Dynamics Based on Generative Priors, by Vishal Purohit et al.
Posterior sampling via Langevin dynamics based on generative priorsby Vishal Purohit, Matthew Repasky, Jianfeng Lu,…