Kamyar Azizzadenesheli

Kamyar Azizzadenesheli

Purdue University

H-index: 34

North America-United States

About Kamyar Azizzadenesheli

Kamyar Azizzadenesheli, With an exceptional h-index of 34 and a recent h-index of 32 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Machine Learning.

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

Physics-informed neural networks for sampling

Neural Operators with Localized Integral and Differential Kernels

Timing as an Action: Learning When to Observe and Act

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

Neural operators for accelerating scientific simulations and design

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

Universal Functional Regression with Neural Operator Flows

Equivariant Graph Neural Operator for Modeling 3D Dynamics

Kamyar Azizzadenesheli Information

University

Position

Assistant Professor at

Citations(all)

7733

Citations(since 2020)

7579

Cited By

1231

hIndex(all)

34

hIndex(since 2020)

32

i10Index(all)

62

i10Index(since 2020)

62

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Kamyar Azizzadenesheli Skills & Research Interests

Machine Learning

Top articles of Kamyar Azizzadenesheli

Title

Journal

Author(s)

Publication Date

Physics-informed neural networks for sampling

Jingtong Sun

Julius Berner

Kamyar Azizzadenesheli

Anima Anandkumar

2024/3/3

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

Timing as an Action: Learning When to Observe and Act

Helen Zhou

Audrey Huang

Kamyar Azizzadenesheli

David Childers

Zachary Lipton

2024/4/18

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

Neural operators for accelerating scientific simulations and design

Kamyar Azizzadenesheli

Nikola Kovachki

Zongyi Li

Miguel Liu-Schiaffini

Jean Kossaifi

...

2024/4/8

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction

arXiv preprint arXiv:2402.01960

Ziqi Ma

Kamyar Azizzadenesheli

Anima Anandkumar

2024/2/2

Universal Functional Regression with Neural Operator Flows

arXiv preprint arXiv:2404.02986

Yaozhong Shi

Angela F Gao

Zachary E Ross

Kamyar Azizzadenesheli

2024/4/3

Equivariant Graph Neural Operator for Modeling 3D Dynamics

arXiv preprint arXiv:2401.11037

Minkai Xu

Jiaqi Han

Aaron Lou

Jean Kossaifi

Arvind Ramanathan

...

2024/1/19

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

Artificial intelligence for science in quantum, atomistic, and continuum systems

arXiv preprint arXiv:2307.08423

Xuan Zhang

Limei Wang

Jacob Helwig

Youzhi Luo

Cong Fu

...

2023/7/17

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo

Haque Ishfaq

Qingfeng Lan

Pan Xu

A Rupam Mahmood

Doina Precup

...

2023/5/29

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Renbo Tu

Colin White

Jean Kossaifi

Boris Bonev

Gennady Pekhimenko

...

2023/10/13

Phase Neural Operator for Multi‐Station Picking of Seismic Arrivals

Geophysical Research Letters

Hongyu Sun

Zachary E Ross

Weiqiang Zhu

Kamyar Azizzadenesheli

2023/12/28

Neural mixture model association of seismic phases

arXiv preprint arXiv:2301.02597

Zachary E Ross

Weiqiang Zhu

Kamyar Azizzadenesheli

2023/1/6

Reward Selection with Noisy Observations

arXiv preprint arXiv:2307.05953

Kamyar Azizzadenesheli

Trung Dang

Aranyak Mehta

Alexandros Psomas

Qian Zhang

2023/7/12

Pretraining Neural-Networks with Neural-Fly for Rapid Online Learning

Michael O'Connell

Guanya Shi

Xichen Shi

Kamyar Azizzadenesheli

Anima Anandkumar

...

2023/5/8

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

arXiv preprint arXiv:2310.00120

Jean Kossaifi

Nikola Kovachki

Kamyar Azizzadenesheli

Anima Anandkumar

2023/9/29

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems

Sahin Lale

Yuanyuan Shi

Guannan Qu

Kamyar Azizzadenesheli

Adam Wierman

...

2023/12/13

Fast sampling of diffusion models via operator learning

Hongkai Zheng

Weili Nie

Arash Vahdat

Kamyar Azizzadenesheli

Anima Anandkumar

2023/7/3

Next-generation seismic monitoring with neural operators

arXiv preprint arXiv:2305.03269

Hongyu Sun

Zachary E Ross

Weiqiang Zhu

Kamyar Azizzadenesheli

2023/5/5

See List of Professors in Kamyar Azizzadenesheli University(Purdue University)

Co-Authors

H-index: 78
Andrew M Stuart

Andrew M Stuart

California Institute of Technology

H-index: 74
Anima Anandkumar

Anima Anandkumar

California Institute of Technology

H-index: 60
Kaushik Bhattacharya

Kaushik Bhattacharya

California Institute of Technology

H-index: 55
Yisong Yue

Yisong Yue

California Institute of Technology

H-index: 53
Zachary C. Lipton

Zachary C. Lipton

Carnegie Mellon University

H-index: 48
Soon-Jo Chung

Soon-Jo Chung

California Institute of Technology

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