Learning deep neural network representations for Koopman operators of nonlinear dynamical systems E Yeung, S Kundu, N Hodas 2019 American Control Conference (ACC), 4832-4839, 2019 | 446 | 2019 |
Linear DNA for Rapid Prototyping of Synthetic Biological Circuits in an Escherichia coli Based TX-TL Cell-Free System ZZ Sun, E Yeung, CA Hayes, V Noireaux, RM Murray ACS synthetic biology 3 (6), 387-397, 2014 | 336 | 2014 |
Rapid cell-free forward engineering of novel genetic ring oscillators H Niederholtmeyer, ZZ Sun, Y Hori, E Yeung, A Verpoorte, RM Murray, ... elife 4, e09771, 2015 | 265 | 2015 |
Biophysical constraints arising from compositional context in synthetic gene networks E Yeung, AJ Dy, KB Martin, AH Ng, D Del Vecchio, JL Beck, JJ Collins, ... Cell systems 5 (1), 11-24. e12, 2017 | 130 | 2017 |
Synthetic Biology Tools for the Fast-Growing Marine Bacterium Vibrio natriegens T Tschirhart, V Shukla, EE Kelly, Z Schultzhaus, E NewRingeisen, ... ACS synthetic biology 8 (9), 2069-2079, 2019 | 68 | 2019 |
Dynamical structure function identifiability conditions enabling signal structure reconstruction J Adebayo, T Southwick, V Chetty, E Yeung, Y Yuan, J Goncalves, ... 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 4635-4641, 2012 | 54 | 2012 |
Initial-condition estimation in network synchronization processes: algebraic and graphical characterizations of the estimator M Xue, E Yeung, A Rai, S Roy, Y Wan, S Warnick AIAA Guidance, Navigation, and Control Conference, 6398, 2011 | 44 | 2011 |
A koopman operator approach for computing and balancing gramians for discrete time nonlinear systems E Yeung, Z Liu, NO Hodas 2018 Annual American Control Conference (ACC), 337-344, 2018 | 42 | 2018 |
Enforcing constraints for interpolation and extrapolation in generative adversarial networks P Stinis, T Hagge, AM Tartakovsky, E Yeung Journal of Computational Physics 397, 108844, 2019 | 38 | 2019 |
On computation of koopman operator from sparse data S Sinha, U Vaidya, E Yeung 2019 American Control Conference (ACC), 5519-5524, 2019 | 36 | 2019 |
A class of logistic functions for approximating state-inclusive koopman operators CA Johnson, E Yeung 2018 Annual American Control Conference (ACC), 4803-4810, 2018 | 36 | 2018 |
Representing structure in linear interconnected dynamical systems E Yeung, J Gonçalves, H Sandberg, S Warnick 49th IEEE Conference on Decision and Control (CDC), 6010-6015, 2010 | 35 | 2010 |
Mathematical relationships between representations of structure in linear interconnected dynamical systems E Yeung, J Gonçalves, H Sandberg, S Warnick Proceedings of the 2011 American Control Conference, 4348-4353, 2011 | 28 | 2011 |
Solving differential equations with unknown constitutive relations as recurrent neural networks T Hagge, P Stinis, E Yeung, AM Tartakovsky arXiv preprint arXiv:1710.02242, 2017 | 26 | 2017 |
Koopman operator methods for global phase space exploration of equivariant dynamical systems S Sinha, SP Nandanoori, E Yeung IFAC-PapersOnLine 53 (2), 1150-1155, 2020 | 25 | 2020 |
A data-driven method for quantifying the impact of a genetic circuit on its host A Hasnain, S Sinha, Y Dorfan, AE Borujeni, Y Park, P Maschhoff, ... 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019 | 23 | 2019 |
Data-driven operator theoretic methods for global phase space learning SP Nandanoori, S Sinha, E Yeung 2020 American Control Conference (ACC), 4551-4557, 2020 | 22 | 2020 |
Optimal reporter placement in sparsely measured genetic networks using the koopman operator A Hasnain, N Boddupalli, E Yeung 2019 IEEE 58th Conference on Decision and Control (CDC), 19-24, 2019 | 22 | 2019 |
Decomposition of nonlinear dynamical systems using koopman gramians Z Liu, S Kundu, L Chen, E Yeung 2018 Annual American Control Conference (ACC), 4811-4818, 2018 | 22 | 2018 |
Deep koopman controller synthesis for cyber-resilient market-based frequency regulation P You, J Pang, E Yeung IFAC-PapersOnLine 51 (28), 720-725, 2018 | 22 | 2018 |