Karthik Kashinath
Computer Vision and Pattern Recognition · 2014–2023
A researcher in the Science corpus: 9 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it
- Artificial Intelligence — 73 citations into it
- Atmospheric Science — 47 citations into it
- Computational Mechanics — 46 citations into it
- Statistical and Nonlinear Physics — 46 citations into it
- Global and Planetary Change — 43 citations into it
- AI for Physical Sciences — 10 citations into it
- Computer Networks and Communications — 7 citations into it
Whom Karthik Kashinath trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Maizar Raissi
- T. Lieuwen
- Zoubin Ghahramani
- Paris Perdikaris
- Geoffrey E. Hinton
- Lipika Kabiraj
- Yann LeCun
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
Who trusts Karthik Kashinath overall
Papers from Karthik Kashinath's perspective
Ordered by how strongly the researchers Karthik Kashinath trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Spherical CNNs on Unstructured Grids (2019) — 204 citations
- Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere (2023) — 322 citations
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators (2022) — 1,246 citations
- FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators (2022) — 407 citations
- Physics-informed machine learning: case studies for weather and climate modelling (2021) — 660 citations
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction (2019) — 451 citations
- Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design (2018) — 322 citations
- Segmenting and Tracking Extreme Climate Events using Neural Networks (2017)
- Nonlinear self-excited thermoacoustic oscillations of a ducted premixed flame: bifurcations and routes to chaos (2014) — 142 citations