| Optimization methods for interpretable differentiable decision trees applied to reinforcement learning A Silva, M Gombolay, T Killian, I Jimenez, SH Son International conference on artificial intelligence and statistics, 1855-1865, 2020 | 119 | 2020 |
| The value of clustering in distributed estimation for sensor networks SH Son, M Chiang, SR Kulkarni, SC Schwartz 2005 International Conference on Wireless Networks, Communications and …, 2005 | 49 | 2005 |
| Apprenticeship scheduling: Learning to schedule from human experts M Gombolay, R Jensen, J Stigile, SH Son, J Shah AAAI Press/international joint conferences on artificial intelligence, 2016 | 47 | 2016 |
| Human-machine collaborative optimization via apprenticeship scheduling M Gombolay, R Jensen, J Stigile, T Golen, N Shah, SH Son, J Shah Journal of Artificial Intelligence Research 63, 1-49, 2018 | 37 | 2018 |
| Machine learning techniques for analyzing training behavior in serious gaming MC Gombolay, RE Jensen, SH Son IEEE Transactions on Games 11 (2), 109-120, 2017 | 20 | 2017 |
| Interpretable reinforcement learning via differentiable decision trees IDJ Rodriguez, TW Killian, SH Son, MC Gombolay arXiv preprint arXiv:1903.09338, 2019 | 18* | 2019 |
| Communication-estimation tradeoffs in wireless sensor networks SH Son, SR Kulkarni, SC Schwartz, M Roan Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 16 | 2005 |
| Learning to infer final plans in human team planning J Kim, ME Woicik, MC Gombolay, SH Son, JA Shah International Joint Conferences on Artificial Intelligence, 2018 | 12 | 2018 |
| Learning to tutor from expert demonstrators via apprenticeship scheduling MC Gombolay, R Jensen, J Stigile, SH Son, J Shah Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 6 | 2017 |
| Safe predictors for enforcing input-output specifications S Mell, O Brown, J Goodwin, SH Son arXiv preprint arXiv:2001.11062, 2020 | 5 | 2020 |
| Kernelized capsule networks T Killian, J Goodwin, O Brown, SH Son arXiv preprint arXiv:1906.03164, 2019 | 5 | 2019 |
| Clustering in distributed incremental estimation in wireless sensor networks SH Son, M Chiang, SR Kulkarni, SC Schwartz | 3 | |
| Interpretable reinforcement learning via differentiable decision trees ID Jimenez Rodriguez, T Killian, SH Son, M Gombolay arXiv preprint arXiv:1903.09338, 2019 | 1 | 2019 |
| Machine Learning for Education: Learning to Teach MC Gombolay, R Jensen, SH Son, ... Massachusetts Inst of Teach, Lexington, United States, 2016 | 1 | 2016 |
| Learning Robust Representations for Automatic Target Recognition JA Goodwin, OM Brown, TW Killian, SH Son arXiv preprint arXiv:1811.10714, 2018 | | 2018 |
| Learning Robust Representations for Automatic Target Recognition: FY18 Line-Supported Information, Computation & Exploitation Program JA Goodwin, OM Brown, TW Killian, SH Son | | 2018 |
| Apprenticeship Learning: Learning to Schedule from Human Experts MC Gombolay, J Shah, J Stigile, SH Son, RE Jensen, ... | | 2016 |
| Distributed estimation with dependent observations in wireless sensor networks SH Son, SR Kulkarni, SC Schwartz 2006 14th European Signal Processing Conference, 1-5, 2006 | | 2006 |
