| Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning F Dietrich, A Makeev, G Kevrekidis, N Evangelou, T Bertalan, S Reich, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (2), 2023 | 36 | 2023 |
| Reaction-diffusion spatial modeling of COVID-19: Greece and Andalusia as case examples PG Kevrekidis, J Cuevas-Maraver, Y Drossinos, Z Rapti, GA Kevrekidis Physical Review E 104 (2), 024412, 2021 | 35 | 2021 |
| Lockdown measures and their impact on single-and two-age-structured epidemic model for the COVID-19 outbreak in Mexico J Cuevas-Maraver, PG Kevrekidis, QY Chen, GA Kevrekidis, ... Mathematical Biosciences 336, 108590, 2021 | 24 | 2021 |
| Spatial modeling of COVID-19: Greece and Andalusia as case examples PG Kevrekidis, J Cuevas-Maraver, Y Drossinos, Z Rapti, GA Kevrekidis | 8 | 2020 |
| The passive symmetries of machine learning S Villar, DW Hogg, W Yao, GA Kevrekidis, B Schölkopf arXiv preprint arXiv:2301.13724 580, 2023 | 7 | 2023 |
| The Role of Mobility in the Dynamics of the COVID-19 Epidemic in Andalusia Z Rapti, J Cuevas-Maraver, E Kontou, S Liu, Y Drossinos, PG Kevrekidis, ... Bulletin of Mathematical Biology 85 (6), 54, 2023 | 5 | 2023 |
| Backcasting COVID-19: a physics-informed estimate for early case incidence GA Kevrekidis, Z Rapti, Y Drossinos, PG Kevrekidis, MA Barmann, ... Royal Society Open Science 9 (12), 220329, 2022 | 5 | 2022 |
| On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non) identifiability N Evangelou, NJ Wichrowski, GA Kevrekidis, F Dietrich, M Kooshkbaghi, ... PNAS nexus 1 (4), pgac154, 2022 | 5 | 2022 |
| Vaccination compartmental epidemiological models for the delta and omicron SARS-CoV-2 variants J Cuevas-Maraver, PG Kevrekidis, QY Chen, GA Kevrekidis, Y Drossinos Mathematical Biosciences 367, 109109, 2024 | 2 | 2024 |
| On the parameter combinations that matter and on those that do not N Evangelou, NJ Wichrowski, GA Kevrekidis, F Dietrich, M Kooshkbaghi, ... arXiv preprint arXiv:2110.06717, 2021 | 2 | 2021 |
| Towards fully covariant machine learning S Villar, DW Hogg, W Yao, GA Kevrekidis, B Schölkopf arXiv preprint arXiv:2301.13724, 2023 | 1 | 2023 |
| MarkerMap: nonlinear marker selection for single-cell studies N Sarwar, W Gregory, GA Kevrekidis, S Villar, B Dumitrascu arXiv preprint arXiv:2207.14106, 2022 | 1 | 2022 |
| Estimation of the effective reproduction number for SARS-CoV-2 infection during the first epidemic wave in the metropolitan area of Athens, Greece K Kaloudis, GA Kevrekidis, HC Maltezou, C Anastassopoulou, A Tsakris, ... arXiv preprint arXiv:2012.14192, 2020 | 1 | 2020 |
| MarkerMap: nonlinear marker selection for single-cell studies W Gregory, N Sarwar, G Kevrekidis, S Villar, B Dumitrascu npj Systems Biology and Applications 10 (1), 17, 2024 | | 2024 |
| Machine Learning for the identification of phase-transitions in interacting agent-based systems N Evangelou, DG Giovanis, GA Kevrekidis, GA Pavliotis, IG Kevrekidis arXiv preprint arXiv:2310.19039, 2023 | | 2023 |
| Learning What to Learn: Common and Sensor-Specific Information across Multiple Sensors, with Some Thoughts about Sensor Spoofing and Causality D Sroczynski, F Dietrich, G Kevrekidis, R Talmon, M Williams, D Siu, ... 2022 AIChE Annual Meeting, 2022 | | 2022 |
| A Data-Driven Approach to Determining Problem Well-Posedness T Bertalan, E Rebrova, G Kevrekidis, IG Kevrekidis 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Discovering Latent Effective Parameters from Heterogeneous Populations N Evangelou, G Kevrekidis, F Dietrich, IG Kevrekidis 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Addressing Well-Posedness in a Data-Driven Manner: Model Problems and Physics-Informed Neural Networks T Bertalan, G Kevrekidis, S Mishra, IG Kevrekidis 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Learning effective stochastic differential equations from microscopic simulations: Combining stochastic numerics and deep learning F Dietrich, A Makeev, G Kevrekidis, N Evangelou, T Bertalan, S Reich, ... arXiv preprint arXiv:2106.09004, 2021 | | 2021 |
Panayotis KevrekidisProfessor, Dept. of Mathematics & Statistics, UMass, AmherstBestätigte E-Mail-Adresse bei math.umass.edu
