13 citations · 26 across the 5 of their papers we have counts for
5 papers
Auxiliary Metrics Help Decoding Skill Neurons in the Wild
Yixiu Zhao, Xiaozhi Wang, Zijun Yao +2
Large language models (LLMs) exhibit remarkable capabilities across a wide range of tasks, yet their internal mechanisms remain largely opaque. In this paper, we introduce a simple…
Revisiting Structured Variational Autoencoders
Yixiu Zhao, Scott W. Linderman
Structured variational autoencoders (SVAEs) combine probabilistic graphical model priors on latent variables, deep neural networks to link latent variables to observed data, and st…
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning
Yixiu Zhao, Ziyin Liu
In this work we propose a novel task framework under which a variety of physical reasoning puzzles can be constructed using very simple rules. Under sparse reward settings, most of…
An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification
Yixiu Zhao, Xiangrui Zeng, Qiang Guo +1
Motivation: Cellular Electron CryoTomography (CECT) is an emerging 3D imaging technique that visualizes subcellular organization of single cells at submolecular resolution and in n…
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study
Denny Wu, Yixiu Zhao, Yao-Hung Hubert Tsai +2
Recent works investigated the generalization properties in deep neural networks (DNNs) by studying the Information Bottleneck in DNNs. However, the mea- surement of the mutual info…