4 papers
Local Diffusion Models and Phases of Data Distributions
Fangjun Hu, Guangkuo Liu, Yifan F. Zhang +1
As a class of generative artificial intelligence frameworks inspired by statistical physics, diffusion models have shown extraordinary performance in synthesizing complicated data…
FreeInv: Free Lunch for Improving DDIM Inversion
Yuxiang Bao, Huijie Liu, Xun Gao +2
Naive DDIM inversion process usually suffers from a trajectory deviation issue, i.e., the latent trajectory during reconstruction deviates from the one during inversion. To allevia…
DiLoCoX: A Low-Communication Large-Scale Training Framework for Decentralized Cluster
Ji Qi, WenPeng Zhu, Li Li +6
The distributed training of foundation models, particularly large language models (LLMs), demands a high level of communication. Consequently, it is highly dependent on a centraliz…
Generalization Error in Quantum Machine Learning in the Presence of Sampling Noise
Fangjun Hu, Xun Gao
Tackling output sampling noise due to finite shots of quantum measurement is an unavoidable challenge when extracting information in machine learning with physical systems. A techn…