| 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 | 5517 | 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 | 2881 | 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 | 1423 | 2014 |
| signSGD: Compressed optimisation for non-convex problems J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning, 560-569, 2018 | 1340* | 2018 |
| Born again neural networks T Furlanello, Z Lipton, M Tschannen, L Itti, A Anandkumar International conference on machine learning, 1607-1616, 2018 | 1258 | 2018 |
| 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 | 976 | 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 | 925 | 2023 |
| 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 | 875* | 2020 |
| 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 | 836* | 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 | 812 | 2023 |
| Stochastic activation pruning for robust adversarial defense GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ... arXiv preprint arXiv:1803.01442, 2018 | 718 | 2018 |
| Deep active learning for named entity recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar arXiv preprint arXiv:1707.05928, 2017 | 588 | 2017 |
| 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 | 518 | 2021 |
| 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 | 506 | 2024 |
| Diffusion models for adversarial purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar arXiv preprint arXiv:2205.07460, 2022 | 499 | 2022 |
| Tensorly: Tensor learning in python J Kossaifi, Y Panagakis, A Anandkumar, M Pantic Journal of Machine Learning Research 20 (26), 1-6, 2019 | 463 | 2019 |
| 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 | 439 | 2020 |
| 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 | 405 | 2011 |
| 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 | 395 | 2012 |
| U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow G Wen, Z Li, K Azizzadenesheli, A Anandkumar, SM Benson Advances in Water Resources 163, 104180, 2022 | 380 | 2022 |
