Toward Interpretable Topic Discovery via Anchored Correlation Explanation. - Kyle Reing; David C. Kale; Greg Ver Steeg; Aram Galstyan (CoRR, 2016)

Sifting Common Information from Many Variables. - Greg Ver Steeg; Shuyang Gao; Kyle Reing; Aram Galstyan (IJCAI, 2017)

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge. - Ryan J. Gallagher; Kyle Reing; David C. Kale; Greg Ver Steeg (Trans. Assoc. Comput. Linguistics, 2017)

Improving generalization by controlling label-noise information in neural network weights. - Hrayr Harutyunyan; Kyle Reing; Greg Ver Steeg; Aram Galstyan (ICML, 2020)

Maximizing Multivariate Information With Error-Correcting Codes. - Kyle Reing; Greg Ver Steeg; Aram Galstyan (IEEE Trans. Inf. Theory, 2020)

Influence Decompositions For Neural Network Attribution. - Kyle Reing; Greg Ver Steeg; Aram Galstyan (AISTATS, 2021)

Discovering Higher-Order Interactions Through Neural Information Decomposition. - Kyle Reing; Greg Ver Steeg; Aram Galstyan (Entropy, 2021)

Making Sense Of Distributed Representations With Activation Spectroscopy. - Kyle Reing; Greg Ver Steeg; Aram Galstyan (CoRR, 2025)