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About the database ScholarIQanswers from OpenAlex & ORCID
How has Anima Anandkumar's publication output changed over time?
ScholarIQpublication output · 2018–2024
Output declined50% over the shown period — from 2 works in 2018 to 1 in 2024.
2
1
3
3
1
1
201820202021202220232024
What are the most-cited papers on Anima Anandkumar?
ScholarIQmost cited works
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Álvarez, Ping Luo
arXiv (Cornell University). 20213,361 CitationsOPEN ACCESS
Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne J. Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie‐Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Žitnik
Nature. 20231,680 Citations
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li, Nikola Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
arXiv (Cornell University). 20201,095 CitationsOPEN ACCESS
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Álvarez, Ping Luo
S4306402161. 2021848 CitationsOPEN ACCESS
Physics-informed machine learning: case studies for weather and climate modelling
Karthik Kashinath, Mohamed Elhafiz Mustafa, Adrian Albert, Jinlong Wu, Chung-Hsiang Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Rui Wang, Ashesh Chattopadhyay, Aakanksha Singh, A. Manepalli, Dragos B. Chirila, Rose Yu, Robin Walters, Brian White, Heng Xiao, Hamdi A. Tchelepi, Philip Marcus, Anima Anandkumar, Pedram Hassanzadeh, Prabhat
S99517592. 2021658 Citations
Related on ScholarIQ
California Institute of Technology
Institution
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers
Paper
Scientific discovery in the age of artificial intelligence
Paper
Fourier Neural Operator for Parametric Partial Differential Equations
Paper
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Paper
Physics-informed machine learning: case studies for weather and climate modelling
Paper