Jason Jo

Deep neural networks and mixed integer linear optimization

Matteo Fischetti, Jason Jo · Constraints · 2018 · 250 citations

Deep Neural Networks, Engineering, Machine Learning +4

Measuring the tendency of CNNs to Learn Surface Statistical Regularities

Jason Jo, Yoshua Bengio · arXiv (Cornell University) · 2017 · 193 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +18

Compositional generalization in a deep seq2seq model by separating syntax and semantics

Jason Jo, Randall C. O’Reilly, Yoshua Bengio · arXiv (Cornell University) · 2019 · 86 citations · Full text

Structured Prediction, Syntactic Parsing, Engineering +21

Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study

Matteo Fischetti, Jason Jo · arXiv (Cornell University) · 2017 · 58 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +18

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Giulia Zarpellon, Jason Jo, Andrea Lodi et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 23 citations · Full text

Artificial Intelligence, Mathematical Programming, Engineering +18