Karthik Kashinath
Karthik Kashinath
Principal Scientist & Engineer, NVIDIA
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Cited by
Cited by
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
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
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
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
Spherical CNNs on unstructured grids
C Jiang, J Huang, K Kashinath, P Marcus, M Niessner
arXiv preprint arXiv:1901.02039, 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
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
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
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
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
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
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
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
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
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
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
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
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
Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets
G Muszynski, K Kashinath, V Kurlin, M Wehner, Prabhat
Geoscientific Model Development 12 (2), 613-628, 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
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