Animashree (Anima) Anandkumar
Bren Professor of Computing and Mathematical Sciences
B.S., Indian Institutes of Technology, 2004; Ph.D., Cornell University, 2009; Visiting Associate, Caltech, 2017; Bren Professor, 2017-.
Overview
Professor Anandkumar's research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms for machine learning. Tensor decomposition methods are embarrassingly parallel and scalable to enormous datasets. They are guaranteed to converge to the global optimum and yield consistent estimates for many probabilistic models such as topic models, community models, and hidden Markov models. More generally, Professor Anandkumar has been investigating efficient techniques to speed up non-convex optimization such as escaping saddle points efficiently.
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Read more newsPublications
- Lale, Sahin;Renn, Peter I. et al. (2024) FALCON: Fourier Adaptive Learning and Control for Disturbance Rejection Under Extreme Turbulencenpj Robotics
- McClain Gomez, Abigail;Patti, Taylor L. et al. (2024) Near-term distributed quantum computation using mean-field corrections and auxiliary qubitsQuantum Science and Technology
- Gopakumar, Vignesh;Pamela, Stanislas et al. (2024) Plasma surrogate modelling using Fourier neural operatorsNuclear Fusion
- Azizzadenesheli, Kamyar;Kovachki, Nikola et al. (2024) Neural operators for accelerating scientific simulations and designNature Reviews Physics
- Li, Zongyi;Zheng, Hongkai et al. (2024) Physics-Informed Neural Operator for Learning Partial Differential EquationsACM / IMS Journal of Data Science
- Qiao, Zhuoran;Nie, Weili et al. (2024) State-specific protein–ligand complex structure prediction with a multiscale deep generative modelNature Machine Intelligence
- Zhou, Tingtao;Wan, Xuan et al. (2024) AI-aided geometric design of anti-infection cathetersScience Advances
- Luo, Zelun;Zou, Yuliang et al. (2024) Differentially Private Video Activity Recognition
- Zheng, Zhiling;Alawadhi, Ali H. et al. (2023) Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT ModelsJournal of the American Chemical Society
- Feng, Jie;Shi, Yuanyuan et al. (2023) Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage ControlIEEE Transactions on Control of Network Systems
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2023-24
CS/CNS/EE/IDS 165 – Foundations of Machine Learning and Statistical Inference
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CS/CNS/EE/IDS 165 – Foundations of Machine Learning and Statistical Inference