4 papers
A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection
James Enouen, Mahito Sugiyama
The log-linear model has received a significant amount of theoretical attention in previous decades and remains the fundamental tool used for learning probability distributions ove…
Higher-Order Causal Structure Learning with Additive Models
James Enouen, Yujia Zheng, Ignavier Ng +2
Causal structure learning has long been the central task of inferring causal insights from data. Despite the abundance of real-world processes exhibiting higher-order mechanisms, h…
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
James Enouen, Yan Liu
In recent years, the Shapley value and SHAP explanations have emerged as one of the most dominant paradigms for providing post-hoc explanations of black-box models. Despite their w…
Speak so a physicist can understand you! TetrisCNN for detecting phase transitions and order parameters
Kacper CybiÅski, James Enouen, Antoine Georges +1
Recently, neural networks (NNs) have become a powerful tool for detecting quantum phases of matter. Unfortunately, NNs are black boxes and only identify phases without elucidating…