| Learning and modeling chaos using lstm recurrent neural networks M Madondo, T Gibbons MICS 2018 Proceedings, 2018 | 20 | 2018 |
| A SWAT-based Reinforcement Learning Framework for Crop Management M Madondo, M Azmat, K DiPietro, R Horesh, M Jacobs, A Bawa, ... The Workshop on Artificial Intelligence for Social Good at AAAI'23, 2023 | 3 | 2023 |
| Forecasting soil moisture using domain inspired temporal graph convolution neural networks to guide sustainable crop management M Azmat, M Madondo, K Dipietro, R Horesh, A Bawa, M Jacobs, ... arXiv preprint arXiv:2212.06565, 2022 | 1 | 2022 |
| Forecasting land-based environmental variables using similarity analysis and temporal graph convoluational neural networks F O'donncha, M Madondo, M Azmat, M Jacobs, R Horesh US Patent App. 17/937,857, 2024 | | 2024 |
| Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics M Madondo, D Verma, L Ruthotto, NA Yong arXiv preprint arXiv:2311.07563, 2023 | | 2023 |
| A Reinforcement Learning Framework Built Within a SWAT Model Physical Environment to Inform Crop Management F O'Donncha, M Madondo, M Azmat, K Dipietro, R Horesh, M Jacobs, ... American Geophysical Union Fall Meeting, 2022 | | 2022 |
| Using Temporal Graph Neural Networks to Leverage High Fidelity Observation Data for Improving Generalizability of Hydrological Models R Horesh, M Azmat, M Madondo, F O'Donncha, A Bawa, K Dipietro, ... AGU Fall Meeting Abstracts 2022, H31E-10, 2022 | | 2022 |
| Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. F O'Donncha, M Madondo, M Azmat, R Horesh, K DiPietro Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| A SWAT-based Reinforcement Learning Framework for Crop Management. F O'Donncha, M Madondo, M Azmat, R Horesh, K DiPietro Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
| Hitchhiker’s Guide to Computer Science for Social Good M Madondo, DM Gomez, N Ciernia MICS 2018 Proceedings, 2018 | | 2018 |
| Towards Closed-Loop Deep Brain Stimulation via Optimal Control M Madondo, D Verma, L Ruthotto, NA Yong | | |
