16 citations · 20 across the 7 of their papers we have counts for
7 papers
SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD
Dongfang Li, Xiaodong Luo, Ruoyu Sun +62
Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges for large-scale distributed training, including severe memory pre…
Causal Emergence of Consciousness through Learned Multiscale Neural Dynamics in Mice
Zhipeng Wang, Yingqi Rong, Kaiwei Liu +3
Consciousness spans macroscopic experience and microscopic neuronal activity, yet linking these scales remains challenging. Prevailing theories, such as Integrated Information Theo…
SVD-based Causal Emergence for Gaussian Iterative Systems
Kaiwei Liu, Linli Pan, Zhipeng Wang +3
Causal emergence (CE) based on effective information (EI) demonstrates that macro-states can exhibit stronger causal effects than micro-states in dynamics. However, the identificat…
Dynamical Reversibility and A New Theory of Causal Emergence based on SVD
Jiang Zhang, Ruyi Tao, Keng Hou Leong +2
The theory of causal emergence (CE) with effective information (EI) posits that complex systems can exhibit CE, where macro-dynamics show stronger causal effects than micro-dynamic…
Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies
Bing Yuan, Zhang Jiang, Aobo Lyu +6
Emergence and causality are two fundamental concepts for understanding complex systems. They are interconnected. On one hand, emergence refers to the phenomenon where macroscopic p…
Finding emergence in data by maximizing effective information
Mingzhe Yang, Zhipeng Wang, Kaiwei Liu +3
Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level.…
System Information Decomposition
Aobo Lyu, Bing Yuan, Ou Deng +2
To characterize the complex higher-order interactions among variables within a system, this study introduces a novel framework, termed System Information Decomposition (SID), aimed…