| Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ... arXiv preprint arXiv:2202.11214, 2022 | 349 | 2022 |
| Towards physics-informed deep learning for turbulent flow prediction R Wang, K Kashinath, M Mustafa, A Albert, R Yu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 344 | 2020 |
| Physics-informed machine learning: case studies for weather and climate modelling K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021 | 337 | 2021 |
| Atmospheric river tracking method intercomparison project (ARTMIP): Project goals and experimental design CA Shields, JJ Rutz, LY Leung, FM Ralph, M Wehner, B Kawzenuk, ... Geoscientific Model Development 11 (6), 2455-2474, 2018 | 243 | 2018 |
| Spherical CNNs on unstructured grids C Jiang, J Huang, K Kashinath, P Marcus, M Niessner arXiv preprint arXiv:1901.02039, 2019 | 177 | 2019 |
| The atmospheric river tracking method intercomparison project (ARTMIP): Quantifying uncertainties in atmospheric river climatology JJ Rutz, CA Shields, JM Lora, AE Payne, B Guan, P Ullrich, T O’brien, ... Journal of Geophysical Research: Atmospheres 124 (24), 13777-13802, 2019 | 167 | 2019 |
| A fast and objective multidimensional kernel density estimation method: fastKDE TA O’Brien, K Kashinath, NR Cavanaugh, WD Collins, JP O’Brien Computational Statistics & Data Analysis 101, 148-160, 2016 | 161 | 2016 |
| Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems JL Wu, K Kashinath, A Albert, D Chirila, H Xiao Journal of Computational Physics 406, 109209, 2020 | 150 | 2020 |
| Nonlinear self-excited thermoacoustic oscillations of a ducted premixed flame: bifurcations and routes to chaos K Kashinath, IC Waugh, MP Juniper Journal of Fluid Mechanics 761, 399-430, 2014 | 145 | 2014 |
| Deep-hurricane-tracker: Tracking and forecasting extreme climate events S Kim, H Kim, J Lee, S Yoon, SE Kahou, K Kashinath, M Prabhat 2019 IEEE winter conference on applications of computer vision (WACV), 1761-1769, 2019 | 98 | 2019 |
| Meshfreeflownet: A physics-constrained deep continuous space-time super-resolution framework S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 94 | 2020 |
| Nonlinear thermoacoustics of ducted premixed flames: The influence of perturbation convection speed K Kashinath, S Hemchandra, MP Juniper Combustion and Flame 160 (12), 2856-2865, 2013 | 86 | 2013 |
| Resolution dependence of precipitation statistical fidelity in hindcast simulations TA O'Brien, WD Collins, K Kashinath, O Rübel, S Byna, J Gu, H Krishnan, ... Journal of Advances in Modeling Earth Systems 8 (2), 976-990, 2016 | 72 | 2016 |
| Forced synchronization of periodic and aperiodic thermoacoustic oscillations: lock-in, bifurcations and open-loop control K Kashinath, LKB Li, MP Juniper Journal of Fluid Mechanics 838, 690-714, 2018 | 71 | 2018 |
| Open-loop control of periodic thermoacoustic oscillations: experiments and low-order modelling in a synchronization framework Y Guan, V Gupta, K Kashinath, LKB Li Proceedings of the Combustion Institute 37 (4), 5315-5323, 2019 | 66 | 2019 |
| Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators T Kurth, S Subramanian, P Harrington, J Pathak, M Mardani, D Hall, ... Proceedings of the platform for advanced scientific computing conference, 1-11, 2023 | 64 | 2023 |
| ClimateNet: An expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather Prabhat, K Kashinath, M Mudigonda, S Kim, L Kapp-Schwoerer, ... Geoscientific Model Development Discussions 2020, 1-28, 2020 | 55 | 2020 |
| Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets G Muszynski, K Kashinath, V Kurlin, M Wehner Geoscientific Model Development 12 (2), 613-628, 2019 | 48 | 2019 |
| Using machine learning to augment coarse-grid computational fluid dynamics simulations J Pathak, M Mustafa, K Kashinath, E Motheau, T Kurth, M Day arXiv preprint arXiv:2010.00072, 2020 | 45 | 2020 |
| Spherical fourier neural operators: Learning stable dynamics on the sphere B Bonev, T Kurth, C Hundt, J Pathak, M Baust, K Kashinath, ... International conference on machine learning, 2806-2823, 2023 | 38 | 2023 |
Adrian Albertterrafuse.ai, Massachusetts Institute of Technology, Lawrence Berkeley National LabVerifierad e-postadress på mit.edu
