Anima Anandkumar
Anima Anandkumar
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Cited by
SegFormer: Simple and efficient design for semantic segmentation with transformers
E Xie, W Wang, Z Yu, A Anandkumar, JM Alvarez, P Luo
Advances in neural information processing systems 34, 12077-12090, 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Z Li, NB Kovachki, K Azizzadenesheli, B Lui, K Bhattacharya, A Stuart, ...
International Conference on Learning Representations, 2021
Tensor decompositions for learning latent variable models
A Anandkumar, R Ge, D Hsu, S Kakade, M Telgarsky
The Journal of Machine Learning Research 15 (1), 2773-2832, 2014
signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 560-569, 2018
Born again neural networks
T Furlanello, Z Lipton, M Tschannen, L Itti, A Anandkumar
International conference on machine learning, 1607-1616, 2018
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
arXiv preprint arXiv:1803.01442, 2018
Neural operator: Graph kernel network for partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
arXiv preprint arXiv:2003.03485, 2020
Neural operator: Learning maps between function spaces with applications to pdes
N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ...
Journal of Machine Learning Research 24 (89), 1-97, 2023
Deep active learning for named entity recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
arXiv preprint arXiv:1707.05928, 2017
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
Voyager: An open-ended embodied agent with large language models
G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao, Y Zhu, L Fan, ...
arXiv preprint arXiv:2305.16291, 2023
Scientific discovery in the age of artificial intelligence
H Wang, T Fu, Y Du, W Gao, K Huang, Z Liu, P Chandak, S Liu, ...
Nature 620 (7972), 47-60, 2023
Tensorly: Tensor learning in python
J Kossaifi, Y Panagakis, A Anandkumar, M Pantic
Journal of Machine Learning Research 20 (26), 1-6, 2019
Distributed algorithms for learning and cognitive medium access with logarithmic regret
A Anandkumar, N Michael, AK Tang, A Swami
IEEE Journal on Selected Areas in Communications 29 (4), 731-745, 2011
A spectral algorithm for latent dirichlet allocation
A Anandkumar, DP Foster, DJ Hsu, SM Kakade, YK Liu
Advances in neural information processing systems 25, 2012
A method of moments for mixture models and hidden Markov models
A Anandkumar, D Hsu, SM Kakade
Conference on learning theory, 33.1-33.34, 2012
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
Non-convex robust PCA
P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain
Advances in neural information processing systems 27, 2014
Multipole graph neural operator for parametric partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, A Stuart, K Bhattacharya, ...
Advances in Neural Information Processing Systems 33, 6755-6766, 2020
Physics-informed neural operator for learning partial differential equations
Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ...
ACM/JMS Journal of Data Science 1 (3), 1-27, 2024
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