2 papers
cs.LG2026
Causal Interpretation of Neural Network Computations with Contribution Decomposition
Joshua Brendan Melander, Zaki Alaoui, Shenghua Liu +2
Understanding how neural networks transform inputs into outputs is crucial for interpreting and manipulating their behavior. Most existing approaches analyze internal representatio…
cs.LG2025
Discovering Influential Factors in Variational Autoencoders
Shiqi Liu, Jingxin Liu, Qian Zhao +5
In the field of machine learning, it is still a critical issue to identify and supervise the learned representation without manually intervening or intuition assistance to extract…