| Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (10), 2023 | 7 | 2023 |
| Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel arXiv preprint arXiv:2304.12865, 2023 | 3 | 2023 |
| Data Driven Regional Weather Forecasting: Example using the Shallow Water Equations R Clark, H Abarbanel, LC Fairbanks, RE Sanchez, P Wacharanan arXiv preprint arXiv:2303.16363, 2023 | 1 | 2023 |
| Data Driven Regional Weather Forecasting R Clark, L Fairbanks, R Sanchez, P Wacharanan, H Abarbanel EGUsphere 2022, 1-58, 2022 | 1 | 2022 |
| A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel Neural Networks 153, 530-552, 2022 | 27 | 2022 |
| Reduced-dimension, biophysical neuron models constructed from observed data R Clark, L Fuller, JA Platt, HDI Abarbanel Neural computation 34 (7), 1545-1587, 2022 | 12 | 2022 |
| Integrating recurrent neural networks with data assimilation for scalable data‐driven state estimation SG Penny, TA Smith, TC Chen, JA Platt, HY Lin, M Goodliff, ... Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002843, 2022 | 35 | 2022 |
| The statistical physics of data assimilation and machine learning HDI Abarbanel Cambridge University Press, 2022 | 9 | 2022 |
| simultaneamente a possibilidade de prever bolhas de preços. Também seria interessante avaliar o impacto da atual pandemia de COVID-19 na eficiência dos mercados de criptomoedas. HDI Abarbanel, R Brown, JJ Sidorowich, LS Tsimring, KH Al-yahyaee, ... Programa de Doutoramento em Gestao 266, 97, 2022 | | 2022 |
| Editorial board of Biological Cybernetics: Advances in Computational Neuroscience and in Control and Information Theory for Biological Systems B Lindner, JM Fellous, P Tiesinga, PJ Thomas, H Abarbanel, A Aertsen, ... Biological Cybernetics 116, 1-3, 2022 | | 2022 |
| Robust forecasting using predictive generalized synchronization in reservoir computing JA Platt, A Wong, R Clark, SG Penny, HDI Abarbanel Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (12), 2021 | 24 | 2021 |
| Robust forecasting through generalized synchronization in reservoir computing J Platt, H Abarbanel, S Penny, A Wong, R Clark AGU Fall Meeting Abstracts 2021, NG25B-0522, 2021 | 4 | 2021 |
| A personal retrospective on the 60th anniversary of the journal Biological Cybernetics HDI Abarbanel Biological Cybernetics 115 (3), 205-206, 2021 | 1 | 2021 |
| Forecasting using reservoir computing: The role of generalized synchronization JA Platt, A Wong, R Clark, SG Penny, HDI Abarbanel arXiv preprint arXiv:2102.08930, 2021 | 4 | 2021 |
| Precision annealing Monte Carlo methods for statistical data assimilation and machine learning Z Fang, AS Wong, K Hao, AJA Ty, HDI Abarbanel Physical Review Research 2 (1), 013050, 2020 | 7 | 2020 |
| Machine Learning Classification Informed by a Functional Biophysical System JA Platt, A Miller, L Fuller, HDI Abarbanel arXiv preprint arXiv:1911.08589, 2019 | | 2019 |
| Machine learning of time series using time-delay embedding and precision annealing AJA Ty, Z Fang, RA Gonzalez, PJ Rozdeba, HDI Abarbanel Neural Computation 31 (10), 2004-2024, 2019 | 10 | 2019 |
| Precision Annealing Monte Carlo Methods for Statistical Data Assimilation: Metropolis-Hastings Procedures AS Wong, K Hao, Z Fang, HDI Abarbanel Nonlinear Processes in Geophysics Discussions 2019, 1-23, 2019 | 2 | 2019 |
| Statistical Precision Annealing Method for Deep Learning Z Fang, H Abarbanel APS March Meeting Abstracts 2019, F21. 005, 2019 | | 2019 |
| Quantitative Characterization of Neuromorphic Neural Circuits J Platt, J Wang, H Abarbanel, G Cauwenberghs APS March Meeting Abstracts 2019, P67. 012, 2019 | | 2019 |
