KDD 2021 accepted paper “Interpreting Internal Activation Patterns in Deep Temporal Neural Networks by Finding Prototypes”


CVPR 2021 accepted paper “Automatic Correction of Internal Units in Generative Neural Networks

ICML 2021 accepted paper “Learning Basis Functions of Deep Predictive Neural Networks with Global Spatio-Temporal Covariance Loss”


IJCAI 2019 accepted paper “Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes”


ICML 2018 accepted paper “Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling”