Summary of Generation Through the Lens Of Learning Theory, by Jiaxun Li et al.
Generation through the lens of learning theoryby Jiaxun Li, Vinod Raman, Ambuj TewariFirst submitted to…
Summary of Movie Gen: a Cast Of Media Foundation Models, by Adam Polyak et al.
Movie Gen: A Cast of Media Foundation Modelsby Adam Polyak, Amit Zohar, Andrew Brown, Andros…
Summary of Reducing the Transformer Architecture to a Minimum, by Bernhard Bermeitinger et al.
Reducing the Transformer Architecture to a Minimumby Bernhard Bermeitinger, Tomas Hrycej, Massimo Pavone, Julianus Kath,…
Summary of Generative Conformal Prediction with Vectorized Non-conformity Scores, by Minxing Zheng et al.
Generative Conformal Prediction with Vectorized Non-Conformity Scoresby Minxing Zheng, Shixiang ZhuFirst submitted to arxiv on:…
Summary of Improved Convergence Rate For Diffusion Probabilistic Models, by Gen Li et al.
Improved Convergence Rate for Diffusion Probabilistic Modelsby Gen Li, Yuchen JiaoFirst submitted to arxiv on:…
Summary of Supervised Kernel Thinning, by Albert Gong et al.
Supervised Kernel Thinningby Albert Gong, Kyuseong Choi, Raaz DwivediFirst submitted to arxiv on: 17 Oct…
Summary of Single-timescale Multi-sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications, by Yue Huang et al.
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applicationsby Yue Huang, Zhaoxian Wu,…
Summary of Theory on Score-mismatched Diffusion Models and Zero-shot Conditional Samplers, by Yuchen Liang and Peizhong Ju and Yingbin Liang and Ness Shroff
Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplersby Yuchen Liang, Peizhong Ju, Yingbin Liang,…
Summary of Gder: Safeguarding Efficiency, Balancing, and Robustness Via Prototypical Graph Pruning, by Guibin Zhang et al.
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruningby Guibin Zhang, Haonan Dong, Yuchen…
Summary of Mixeval-x: Any-to-any Evaluations From Real-world Data Mixtures, by Jinjie Ni et al.
MixEval-X: Any-to-Any Evaluations from Real-World Data Mixturesby Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li,…