Kyle Reing

12 papers A* 2A 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Making Sense Of Distributed Representations With Activation Spectroscopy.
CoRR
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2021 J jnl
Discovering Higher-Order Interactions Through Neural Information Decomposition.
Entropy
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2021 A conf
Influence Decompositions For Neural Network Attribution.
AISTATS
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Improving Generalization by Controlling Label-Noise Information in Neural Network Weights.
CoRR
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 A* conf
Improving generalization by controlling label-noise information in neural network weights.
ICML
Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan
2020 J jnl
Maximizing Multivariate Information With Error-Correcting Codes.
IEEE Trans. Inf. Theory
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2018 J jnl
Maximizing Multivariate Information with Error-Correcting Codes.
CoRR
Kyle Reing, Greg Ver Steeg, Aram Galstyan
2017 J jnl
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge.
Trans. Assoc. Comput. Linguistics
Ryan J. Gallagher, Kyle Reing, David C. Kale, Greg Ver Steeg
2017 A* conf
Sifting Common Information from Many Variables.
IJCAI
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
2016 J jnl
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge.
CoRR
Ryan J. Gallagher, Kyle Reing, David C. Kale, Greg Ver Steeg
2016 J jnl
Sifting Common Information from Many Variables.
CoRR
Greg Ver Steeg, Shuyang Gao, Kyle Reing, Aram Galstyan
2016 J jnl
Toward Interpretable Topic Discovery via Anchored Correlation Explanation.
CoRR
Kyle Reing, David C. Kale, Greg Ver Steeg, Aram Galstyan