| Steady state programming of controlled nonlinear systems via deep dynamic mode decomposition A Hasnain, N Boddupalli, S Balakrishnan, E Yeung 2020 American Control Conference (ACC), 4245-4251, 2020 | 12 | 2020 |
| Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics A Hasnain, S Balakrishnan, DM Joshy, J Smith, SB Haase, E Yeung Nature Communications 14 (1), 3148, 2023 | 10 | 2023 |
| Prediction of fitness in bacteria with causal jump dynamic mode decomposition S Balakrishnan, A Hasnain, N Boddupalli, DM Joshy, RG Egbert, E Yeung 2020 American Control Conference (ACC), 3749-3756, 2020 | 8 | 2020 |
| Learning transcriptome dynamics for discovery of optimal genetic reporters of novel compounds A Hasnain, S Balakrishnan, DM Joshy, SB Haase, J Smith, E Yeung bioRxiv, 2022 | 6 | 2022 |
| The Effect of Sensor Fusion on Data-Driven Learning of Koopman Operators S Balakrishnan, A Hasnain, R Egbert, E Yeung arXiv preprint arXiv:2106.15091, 2021 | 6 | 2021 |
| Data-Driven Observability Decomposition with Koopman Operators for Optimization of Output Functions of Nonlinear Systems S Balakrishnan, A Hasnain, R Egbert, E Yeung arXiv preprint arXiv:2210.09343, 2022 | 4 | 2022 |
| Learning Invariant Subspaces of Koopman Operators--Part 1: A Methodology for Demonstrating a Dictionary's Approximate Subspace Invariance CA Johnson, S Balakrishnan, E Yeung arXiv preprint arXiv:2212.07358, 2022 | 1 | 2022 |
| Learning Invariant Subspaces of Koopman Operators--Part 2: Heterogeneous Dictionary Mixing to Approximate Subspace Invariance CA Johnson, S Balakrishnan, E Yeung arXiv preprint arXiv:2212.07365, 2022 | 1 | 2022 |
| Heterogeneous mixtures of dictionary functions to approximate subspace invariance in Koopman operators CA Johnson, S Balakrishnan, E Yeung arXiv preprint arXiv:2206.13585, 2022 | 1 | 2022 |
| Disentangling gene expression burden identifies generalizable phenotypes induced by synthetic gene networks A Hasnain, AE Borujeni, YJ Park, D Becker, P Maschhoff, J Urrutia, ... bioRxiv, 2023.06. 29.547078, 2023 | | 2023 |
| Machine Learning Approach to Observability Analysis of High-Dimensional Nonlinear Dynamical Systems Using Koopman Operator Theory SRW Balakrishnan University of California, Santa Barbara, 2023 | | 2023 |
| Genome remodeling to control the persistence of engineered functions in soil microbes J Elmore, R McClure, R Shrestha, R Francis, H Baldino, B Nelson, ... | | |
| Prediction of the Growth Rate Population Dynamic of Bacteria by Causal Jump Dynamic Mode Decomposition S Balakrishnan, A Hasnain, N Boddupalli, DM Joshy, E Yeung | | |
