Anima Anandkumar

Anima Anandkumar

California Institute of Technology

H-index: 74

North America-United States

About Anima Anandkumar

Anima Anandkumar, With an exceptional h-index of 74 and a recent h-index of 65 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Machine Learning and Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Solving Poisson Equations using Neural Walk-on-Spheres

Action-conditional implicit visual dynamics for deformable object manipulation

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition

Towards large-scale quantum optimization solvers with few qubits

Video instance segmentation

Geometry-informed neural operator for large-scale 3d pdes

Physics-informed neural networks for sampling

Anima Anandkumar Information

University

Position

and NVIDIA

Citations(all)

24901

Citations(since 2020)

20509

Cited By

8413

hIndex(all)

74

hIndex(since 2020)

65

i10Index(all)

225

i10Index(since 2020)

203

Email

University Profile Page

California Institute of Technology

Google Scholar

View Google Scholar Profile

Anima Anandkumar Skills & Research Interests

Machine Learning and Artificial Intelligence

Top articles of Anima Anandkumar

Title

Journal

Author(s)

Publication Date

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Advances in Neural Information Processing Systems

Sungduk Yu

Walter Hannah

Liran Peng

Jerry Lin

Mohamed Aziz Bhouri

...

2024/2/13

Solving Poisson Equations using Neural Walk-on-Spheres

Hong Chul Nam

Julius Berner

Anima Anandkumar

2024/3/3

Action-conditional implicit visual dynamics for deformable object manipulation

The International Journal of Robotics Research

Bokui Shen

Zhenyu Jiang

Christopher Choy

Silvio Savarese

Leonidas J Guibas

...

2023/7

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition

Sihyun Yu

Weili Nie

De-An Huang

Boyi Li

Jinwoo Shin

...

2024

Towards large-scale quantum optimization solvers with few qubits

arXiv preprint arXiv:2401.09421

Marco Sciorilli

Lucas Borges

Taylor L Patti

Diego García-Martín

Giancarlo Camilo

...

2024/1/17

Video instance segmentation

Linjie Yang

Yuchen Fan

Ning Xu

2019

Geometry-informed neural operator for large-scale 3d pdes

Advances in Neural Information Processing Systems (NeurIPS)

Zongyi Li

Nikola Borislavov Kovachki

Chris Choy

Boyi Li

Jean Kossaifi

...

2023

Physics-informed neural networks for sampling

Jingtong Sun

Julius Berner

Kamyar Azizzadenesheli

Anima Anandkumar

2024/3/3

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

arXiv preprint arXiv:2403.12553

Md Ashiqur Rahman

Robert Joseph George

Mogab Elleithy

Daniel Leibovici

Zongyi Li

...

2024/3/19

Neural network-based perturbation removal

2024/3/28

Techniques for weakly supervised referring image segmentation

2024/1/11

Artificial Intelligence-Based Video Feedback to Improve Novice Performance on Robotic Suturing Skills: A Pilot Study

Journal of Endourology

Runzhuo Ma

Dani Kiyasseh

Jasper A Laca

Rafal Kocielnik

Elyssa Y Wong

...

2024/1/29

Leandojo: Theorem proving with retrieval-augmented language models

Advances in Neural Information Processing Systems

Kaiyu Yang

Aidan Swope

Alex Gu

Rahul Chalamala

Peiyang Song

...

2024/2/13

Neural Operators with Localized Integral and Differential Kernels

arXiv preprint arXiv:2402.16845

Miguel Liu-Schiaffini

Julius Berner

Boris Bonev

Thorsten Kurth

Kamyar Azizzadenesheli

...

2024/2/26

Towards Large Language Models as Copilots for Theorem Proving in Lean

arXiv preprint arXiv:2404.12534

Peiyang Song

Kaiyu Yang

Anima Anandkumar

2024/4/18

Improving Distant 3D Object Detection Using 2D Box Supervision

arXiv preprint arXiv:2403.09230

Zetong Yang

Zhiding Yu

Chris Choy

Renhao Wang

Anima Anandkumar

...

2024/3/14

Data selection based on uncertainty quantification

2024/3/19

AI-aided geometric design of anti-infection catheters

Science Advances

Tingtao Zhou

Xuan Wan

Daniel Zhengyu Huang

Zongyi Li

Zhiwei Peng

...

2024/1/3

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics

arXiv preprint arXiv:2401.15122

Shengchao Liu

Weitao Du

Yanjing Li

Zhuoxinran Li

Vignesh Bhethanabotla

...

2024/1/26

Symmetry-informed geometric representation for molecules, proteins, and crystalline materials

Advances in Neural Information Processing Systems

Shengchao Liu

Yanjing Li

Zhuoxinran Li

Zhiling Zheng

Chenru Duan

...

2024/2/13

See List of Professors in Anima Anandkumar University(California Institute of Technology)