no code implementations • 26 Dec 2023 • Yida Chen, Yixian Gan, Sijia Li, Li Yao, Xiaohan Zhao
Recent work found high mutual information between the learned representations of large language models (LLMs) and the geospatial property of its input, hinting an emergent internal model of space.
1 code implementation • 9 Jun 2023 • Yida Chen, Fernanda Viégas, Martin Wattenberg
Latent diffusion models (LDMs) exhibit an impressive ability to produce realistic images, yet the inner workings of these models remain mysterious.
no code implementations • 4 May 2023 • Catherine Yeh, Yida Chen, Aoyu Wu, Cynthia Chen, Fernanda Viégas, Martin Wattenberg
Transformer models are revolutionizing machine learning, but their inner workings remain mysterious.
no code implementations • 7 Nov 2022 • Haiquan Zhao, Zian Cao, Yida Chen
In addition, this paper also conducts a detailed theoretical performance analysis of the TLMM-NSAF algorithm and obtains the stable step size range and theoretical steady-state mean squared deviation (MSD) of the algorithm.