K. Azizzadenesheli

Most-cited papers

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs
N. Kovachki, Zong-Yi Li, Burigede Liu, K. Azizzadenesheli +3 more
2023Journal of machine learning research1,729 citations
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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak, Shashank Subramanian, Peter Harrington, S. Raja +9 more
2022arXiv.org1,398 citations
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Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li, Hong-Kai Zheng, N. Kovachki, David Jin +4 more
2021ACM / IMS Journal of Data Science1,018 citations Open access
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Physics-informed machine learning: case studies for weather and climate modelling
K. Kashinath, M. Mustafa, A. Albert, J.-L. Wu +17 more
2021Philosophical Transactions of the Royal Society A710 citations Open access
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Neural operators for accelerating scientific simulations and design
K. Azizzadenesheli, N. Kovachki, Zong-Yi Li, Miguel Liu-Schiaffini +2 more
2023Nature Reviews Physics526 citations Open access
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Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zong-Yi Li, N. Kovachki, C. Choy, Bo-Yi Li +7 more
2023Neural Information Processing Systems483 citations Open access
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Neural-Fly enables rapid learning for agile flight in strong winds
M. O'Connell, Guanya Shi, Xichen Shi, K. Azizzadenesheli +3 more
2022Science Robotics370 citations Open access
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U-NO: U-shaped Neural Operators
Md Ashiqur Rahman, Z. Ross, K. Azizzadenesheli
2022Trans. Mach. Learn. Res.333 citations Open access
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Fast Sampling of Diffusion Models via Operator Learning
Hong-Kai Zheng, Weili Nie, Arash Vahdat, K. Azizzadenesheli +1 more
2022International Conference on Machine Learning217 citations Open access
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Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo +59 more
2023Found. Trends Mach. Learn.192 citations Open access
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Real-time High-resolution CO2 Geological Storage Prediction using Nested Fourier Neural Operators
G. Wen, Zong-Yi Li, Qirui Long, K. Azizzadenesheli +2 more
2022Energy & Environmental Science186 citations Open access
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Seismic wave propagation and inversion with Neural Operators
Yan Yang, Angela F. Gao, J. Castellanos, Z. Ross +2 more
2021The Seismic Record116 citations Open access
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Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
Jean Kossaifi, N. Kovachki, K. Azizzadenesheli, Anima Anandkumar
2023Trans. Mach. Learn. Res.106 citations Open access
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Score-based Diffusion Models in Function Space
Jae Hyun Lim, N. Kovachki, R. Baptista, Christopher Beckham +9 more
2023Journal of machine learning research102 citations Open access
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Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini, Julius Berner, B. Bonev, Thorsten Kurth +2 more
2024International Conference on Machine Learning94 citations
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Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici +8 more
2024Neural Information Processing Systems84 citations
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Rapid Seismic Waveform Modeling and Inversion With Neural Operators
Yan Yang, Angela F. Gao, K. Azizzadenesheli, Robert W. Clayton +1 more
2022IEEE Transactions on Geoscience and Remote Sensing71 citations Open access
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Generative Adversarial Neural Operators
Md Ashiqur Rahman, M. Flórez, Anima Anandkumar, Z. Ross +1 more
2022Trans. Mach. Learn. Res.63 citations Open access
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Learning Chaotic Dynamics in Dissipative Systems
Zong-Yi Li, Miguel Liu-Schiaffini, N. Kovachki, K. Azizzadenesheli +4 more
2022Neural Information Processing Systems63 citations
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Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi, K. Azizzadenesheli, M. O'Connell, Soon-Jo Chung +1 more
2021Neural Information Processing Systems62 citations
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A Library for Learning Neural Operators
Jean Kossaifi, N. Kovachki, Zong-Yi Li, Davit Pitt +7 more
2024arXiv.org60 citations
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Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi +5 more
2024International Conference on Machine Learning57 citations
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HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks
Jonathan D. Smith, Z. Ross, K. Azizzadenesheli, J. Muir
2021arXiv.org56 citations Open access
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Deep neural helmholtz operators for 3D elastic wave propagation and inversion
Cai-Feng Zou, K. Azizzadenesheli, Zachary E. Ross, Robert W. Clayton
2023Geophysical Journal International51 citations Open access
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Phase Neural Operator for Multi‐Station Picking of Seismic Arrivals
Hongyu Sun, Z. Ross, Weiqiang Zhu, K. Azizzadenesheli
2023Geophysical Research Letters51 citations Open access
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Multi-Agent Multi-Armed Bandits with Limited Communication
Mridul Agarwal, V. Aggarwal, K. Azizzadenesheli
2021Journal of machine learning research47 citations
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Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation
Yaozhong Shi, Grigorios Lavrentiadis, D. Asimaki, Zachary E. Ross +1 more
2023Bulletin of The Seismological Society of America (BSSA)46 citations Open access
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Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang, Le-Qi Liu, Zachary Chase Lipton, K. Azizzadenesheli
2021Neural Information Processing Systems46 citations
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Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jia-Chen Yao, Abbas Mammadov, Julius Berner, Gavin Kerrigan +3 more
2025Neural Information Processing Systems42 citations
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Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Mahmood +3 more
2023International Conference on Learning Representations37 citations Open access
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Langevin Monte Carlo for Contextual Bandits
Pan Xu, Hong-Kai Zheng, Eric Mazumdar, K. Azizzadenesheli +1 more
2022International Conference on Machine Learning36 citations Open access
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HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks
Jonthan D. Smith, Z. Ross, K. Azizzadenesheli, J. Muir
202136 citations
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Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction
Ziqi Ma, David Pitt, K. Azizzadenesheli, Anima Anandkumar
2024Trans. Mach. Learn. Res.35 citations
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On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
Audrey Huang, Le-Qi Liu, Zachary Chase Lipton, K. Azizzadenesheli
2021arXiv.org28 citations
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Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction
C. Choy, Alexey Kamenev, Jean Kossaifi, M. Rietmann +2 more
2025arXiv.org27 citations
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Model Learning Predictive Control in Nonlinear Dynamical Systems
Sahin Lale, K. Azizzadenesheli, B. Hassibi, Anima Anandkumar
2021IEEE Conference on Decision and Control23 citations
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Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof +5 more
2025Neural Information Processing Systems22 citations
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Principled approaches for extending neural architectures to function spaces for operator learning
Julius Berner, Miguel Liu-Schiaffini, Jean Kossaifi, Valentin Duruisseaux +3 more
2025Nature Machine Intelligence22 citations Open access
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Dynamic Obstacle Avoidance for USVs Using Cross-Domain Deep Reinforcement Learning and Neural Network Model Predictive Controller
Jianwen Li, Jalil Chavez-Galaviz, K. Azizzadenesheli, N. Mahmoudian
2023Italian National Conference on Sensors22 citations Open access
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Dynamical Measure Transport and Neural PDE Solvers for Sampling
Jing-Tong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer +3 more
2024arXiv.org20 citations
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Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control
Taylan Kargin, Sahin Lale, K. Azizzadenesheli, Anima Anandkumar +1 more
2022Annual Conference Computational Learning Theory17 citations Open access
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Mesh-Informed Neural Operator : A Transformer Generative Approach
Yaozhong Shi, Zachary E. Ross, D. Asimaki, K. Azizzadenesheli
2025Trans. Mach. Learn. Res.16 citations
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Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo +59 more
2023arXiv.org16 citations Open access
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Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators
G. Wen, Zong-Yi Li, Qirui Long, K. Azizzadenesheli +2 more
2022arXiv.org16 citations Open access
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Stochastic Process Learning via Operator Flow Matching
Yaozhong Shi, Zachary E. Ross, D. Asimaki, K. Azizzadenesheli
2025Neural Information Processing Systems14 citations
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Exploring the design space of deep-learning-based weather forecasting systems
Shoaib Ahmed Siddiqui, Jean Kossaifi, B. Bonev, Chris Choy +3 more
2024arXiv.org13 citations
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FALCON: Fourier Adaptive Learning and Control for Disturbance Rejection Under Extreme Turbulence
Sahin Lale, Peter I. Renn, K. Azizzadenesheli, Babak Hassibi +2 more
2024npj Robotics13 citations Open access
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Ocean Emulation With Fourier Neural Operators: Double Gyre
S. Bire, Bjorn Lutjens, K. Azizzadenesheli, A. Anandkumar +1 more
2025Journal of Advances in Modeling Earth Systems12 citations Open access
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Fourier Neural Operator based surrogates for CO2 storage in realistic geologies
Anirban Chandra, Marius Koch, S. Pawar, Aniruddha Panda +8 more
2025arXiv.org12 citations
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Ambient Noise Full Waveform Inversion With Neural Operators
Cai-Feng Zou, Zachary E. Ross, Robert W. Clayton, Fan-Chi Lin +1 more
2025Journal of Geophysical Research - Solid Earth12 citations Open access
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