Karthik Kashinath
Zitiert von
Zitiert von
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
Nonlinear self-excited thermoacoustic oscillations of a ducted premixed flame: bifurcations and routes to chaos
K Kashinath, IC Waugh, M Juniper
CUP, 2014
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
Spherical CNNs on unstructured grids
C Jiang, J Huang, K Kashinath, P Marcus, M Niessner
arXiv preprint arXiv:1901.02039, 2019
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
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
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
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
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
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
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
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
Nonlinear phenomena in thermoacoustic systems with premixed flames
K Kashinath, S Hemchandra, MP Juniper
Journal of engineering for gas turbines and power 135 (6), 2013
Matrix-free continuation of limit cycles and their bifurcations for a ducted premixed flame
IC Waugh, K Kashinath, M Juniper
Cambridge University Press, 2014
Segmenting and tracking extreme climate events using neural networks
M Mudigonda, S Kim, A Mahesh, S Kahou, K Kashinath, D Williams, ...
Deep Learning for Physical Sciences (DLPS) Workshop, held with NIPS Conference, 2017
Effect of cooling liner on acoustic energy absorption and flame response
U Bhayaraju, J Schmidt, K Kashinath, S Hochgreb
Turbo Expo: Power for Land, Sea, and Air 43970, 511-522, 2010
Deep learning for scientific inference from geophysical data: The Madden-Julian Oscillation as a test case
BA Toms, K Kashinath, D Yang
arXiv preprint arXiv:1902.04621, 2019
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
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
Meshfreeflownet: A physics-constrained deep continuous space-time super-resolution framework
CM Jiang, S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ...
arXiv preprint arXiv:2005.01463, 2020
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