13 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 13 cited
Quantitative causality, causality-guided scientific discovery, and causal machine learning
X. San Liang, Dake Chen, Renhe Zhang
It has been said, arguably, that causality analysis should pave a promising way to interpretable deep learning and generalization. Incorporation of causality into artificial intell…
physics.ao-ph2021
El Niño Modoki thus far can be mostly predicted more than 10 years ahead of time
X. San Liang, Fen Xu, Yineng Rong
The 2014-2015 "Monster"/"Super" El Niño failed to be predicted one year earlier due to the growing importance of a new type of El Niño, El Niño Modoki, which reportedly has much lo…
nlin.CD2015★ 2 cited
Information flow and causality as rigorous notions ab initio
X. San Liang
Information flow (or information transfer as may be called) the widely applicable general physics notion can be rigorously derived from first principles, rather than axiomatically…