Anima Anandkumar
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Anima Anandkumar is a person.
References
2023
- (Wikipedia, 2023) ⇒ https://en.wikipedia.org/wiki/Anima_Anandkumar Retrieved:2023-7-31.
- Animashree (Anima) Anandkumar is the Bren Professor of Computing at California Institute of Technology. She is a director of Machine Learning research at NVIDIA. Her research considers tensor-algebraic methods, deep learning and non-convex problems.
2023
- (Wang et al., 2023) ⇒ Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar. (2023). “Voyager: An Open-Ended Embodied Agent with Large Language Models.” doi:10.48550/arXiv.2305.16291
2021
- (Xie et al., 2021) ⇒ E Xie, W Wang, Z Yu, Anima Anandkumar, JM Alvarez, P Luo. (2021). “SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.” In: Advances in Neural Information Processing Systems 34, 12077-12090.
2021
- (Li et al., 2021) ⇒ Z. Li, N.B. Kovachki, K. Azizzadenesheli, B. Lui, K. Bhattacharya, A. Stuart, ... (2021). “Fourier Neural Operator for Parametric Partial Differential Equations.” In: International Conference on Learning Representations.
2018
- (Furlanello et al., 2018) ⇒ T. Furlanello, Z. Lipton, M. Tschannen, L. Itti, and Anima Anandkumar. (2018). “Born Again Neural Networks.” In: International Conference on Machine Learning, 1607-1616.
2014
- (Anandkumar et al., 2014) ⇒ Anima Anandkumar, R. Ge, D. Hsu, S. Kakade, and M. Telgarsky. (2014). “Tensor Decompositions for learning Latent Variable Models.” In: The Journal of Machine Learning Research 15 (1), 2773-2832.