Scheduling flexible nonpreemptive loads in smart-grid networks N Dahlin, R Jain IEEE Transactions on Control of Network Systems 9 (1), 14-24, 2022 | 18 | 2022 |
Sparse learning of dynamical systems in RKHS: an operator-theoretic approach B Hou, S Sanjari, N Dahlin, S Bose, U Vaidya International Conference on Machine Learning, 13325-13352, 2023 | 11 | 2023 |
Designing interpretable approximations to deep reinforcement learning with soft decision trees N Dahlin, KC Kalagarla, N Naik, R Jain, P Nuzzo arXiv preprint arXiv:2010.14785, 2020 | 8 | 2020 |
Audio content enhancement using bandwidth extension techniques S Baritkar, N Dahlin, IH Nawfal, C Kyriakakis US Patent 8,705,764, 2014 | 8 | 2014 |
A dictionary based approach for robust and syllable-independent audio input transcription for query by humming systems E Unal, S Narayanan, E Chew, PG Georgiou, N Dahlin Proceedings of the 1st ACM workshop on Audio and music computing multimedia …, 2006 | 8 | 2006 |
Two-stage electricity markets with renewable energy integration: Market mechanisms and equilibrium analysis N Dahlin, R Jain IEEE Transactions on Control of Network Systems 9 (2), 823-834, 2022 | 5 | 2022 |
System and method for performing voice activity detection S Bharitkar, N Dahlin US Patent 9,002,030, 2015 | 5 | 2015 |
Risk-based hosting capacity analysis in distribution systems AN Madavan, N Dahlin, S Bose, L Tong IEEE Transactions on Power Systems, 2023 | 4 | 2023 |
Conditional value at risk-sensitive solar hosting capacity analysis in distribution networks AN Madavan, N Dahlin, S Bose, L Tong arXiv preprint arXiv:2204.09096, 2022 | 3 | 2022 |
Designing interpretable approximations to deep reinforcement learning N Dahlin, KC Kalagarla, N Naik, R Jain, P Nuzzo arXiv preprint arXiv:2010.14785, 2020 | 3 | 2020 |
Compressed decentralized learning of conditional mean embedding operators in reproducing kernel hilbert spaces B Hou, S Sanjari, N Dahlin, S Bose Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7902-7909, 2023 | 2 | 2023 |
Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers N Dahlin, K Chang, KC Kalagarla, R Jain, P Nuzzo 2022 58th Annual Allerton Conference on Communication, Control, and …, 2022 | 2 | 2022 |
Scheduling of flexible non-preemptive loads N Dahlin, R Jain 2020 59th IEEE Conference on Decision and Control (CDC), 2567-2572, 2020 | 2 | 2020 |
A two-stage market mechanism for electricity with renewable generation N Dahlin, R Jain 2019 IEEE 58th Conference on Decision and Control (CDC), 5150-5155, 2019 | 2 | 2019 |
Controlling a markov decision process with an abrupt change in the transition kernel N Dahlin, S Bose, VV Veeravalli 2023 American Control Conference (ACC), 3401-3408, 2023 | 1 | 2023 |
A risk aware two-stage market mechanism for electricity with renewable generation N Dahlin, R Jain 2020 American Control Conference (ACC), 186-191, 2020 | 1 | 2020 |
A two stage stochastic mechanism for selling random power N Dahlin, R Jain 2019 American Control Conference (ACC), 2602-2607, 2019 | 1 | 2019 |
A two stage mechanism for selling random power N Dahlin, R Jain arXiv preprint arXiv:1809.09873, 2018 | 1 | 2018 |
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers K Chang, N Dahlin, R Jain, P Nuzzo 2023 62nd IEEE Conference on Decision and Control (CDC), 7843-7848, 2023 | | 2023 |
Conditional Kernel Imitation Learning for Continuous State Environments R Agrawal, N Dahlin, R Jain, A Nayyar arXiv preprint arXiv:2308.12573, 2023 | | 2023 |