Anima Anandkumar - Concepedia

Author

Anima Anandkumar

California Institute of Technology ORCID

Also Known As

A Anandkumar, A. Anandkumar, Ahuja, Alvarez, R. Michael, Anandkumar, A, Anandkumar, Anima, Anandkumar, Animashree, Anima Anandkumar, Animashree Anandkumar, Azizzadenesheli, Kamyar

453

Publications

17.2K

Citations

H-Index

252

Concepts

All Affiliations

California Institute of Technology Nvidia (United States)Nvidia (United Kingdom)Purdue University West Lafayette University of California, Irvine

About

Anima Anandkumar is an author at California Institute of Technology specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	47	103	8.3K
2	Language Studies	9	9	468
3	Education	4	4	72
4	Business	3	3	114
5	Health Sciences	2	2	52

Anima Anandkumar

156

Publications

14.6K

Citations

H-Index

Page 1

	Year	Citations
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers Enze Xie, Wenhai Wang, Zhiding Yu, arXiv (Cornell University)	2021	3.2K
Fourier Neural Operator for Parametric Partial Differential Equations Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, arXiv (Cornell University) Numerical AnalysisGeometric LearningEngineeringMachine LearningClassical Development	2020	1.1K
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie, Wenhai Wang, Zhiding Yu, CaltechAUTHORS (California Institute of Technology) Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningNatural Language Processing	2021	848
Physics-informed machine learning: case studies for weather and climate modelling Karthik Kashinath, Mohamed Elhafiz Mustafa, Adrian Albert, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences	2021	582
Born Again Neural Networks Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, arXiv (Cornell University)	2018	443
U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Advances in Water Resources Convolutional Neural NetworkDeep Neural NetworksEngineeringMachine LearningPhysic Aware Machine Learning	2022	414
Born Again Neural Networks Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, CaltechAUTHORS (California Institute of Technology) Artificial IntelligenceEngineeringMachine LearningDistillation ObjectivesRecurrent Neural Network	2018	276
Fourier Neural Operator for Parametric Partial Differential Equations Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, CaltechAUTHORS (California Institute of Technology)	2021	227
Neural-Fly enables rapid learning for agile flight in strong winds Michael O’Connell, Guanya Shi, Xichen Shi, Science Robotics	2022	217
TensorLy: Tensor Learning in Python Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, arXiv (Cornell University)	2016	210

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