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Nathan Dahlin
Nathan Dahlin
University at Albany, State University of New York
在 albany.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Scheduling flexible nonpreemptive loads in smart-grid networks
N Dahlin, R Jain
IEEE Transactions on Control of Network Systems 9 (1), 14-24, 2022
182022
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
112023
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
82020
Audio content enhancement using bandwidth extension techniques
S Baritkar, N Dahlin, IH Nawfal, C Kyriakakis
US Patent 8,705,764, 2014
82014
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
82006
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
52022
System and method for performing voice activity detection
S Bharitkar, N Dahlin
US Patent 9,002,030, 2015
52015
Risk-based hosting capacity analysis in distribution systems
AN Madavan, N Dahlin, S Bose, L Tong
IEEE Transactions on Power Systems, 2023
42023
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
32022
Designing interpretable approximations to deep reinforcement learning
N Dahlin, KC Kalagarla, N Naik, R Jain, P Nuzzo
arXiv preprint arXiv:2010.14785, 2020
32020
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
22023
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
22022
Scheduling of flexible non-preemptive loads
N Dahlin, R Jain
2020 59th IEEE Conference on Decision and Control (CDC), 2567-2572, 2020
22020
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
22019
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
12023
A risk aware two-stage market mechanism for electricity with renewable generation
N Dahlin, R Jain
2020 American Control Conference (ACC), 186-191, 2020
12020
A two stage stochastic mechanism for selling random power
N Dahlin, R Jain
2019 American Control Conference (ACC), 2602-2607, 2019
12019
A two stage mechanism for selling random power
N Dahlin, R Jain
arXiv preprint arXiv:1809.09873, 2018
12018
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
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