Kamyar Azizzadenesheli

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 116

Top Venues

CoRR

NeurIPS

ICML

Trans. Mach. Learn. Res.

Publications

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel V. Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs. CoRR (2024)
Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
Timing as an Action: Learning When to Observe and Act. AISTATS (2024)
Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR (2024)
Kamyar Azizzadenesheli, William Lu, Anuran Makur, Qian Zhang
Sparse Contextual CDF Regression. Trans. Mach. Learn. Res. 2024 (2024)
Yaozhong Shi, Angela F. Gao, Zachary E. Ross, Kamyar Azizzadenesheli
Universal Functional Regression with Neural Operator Flows. CoRR (2024)
Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar
Dynamical Measure Transport and Neural PDE Solvers for Sampling. CoRR (2024)
Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar
Equivariant Graph Neural Operator for Modeling 3D Dynamics. CoRR (2024)
Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli
Functional Linear Regression of Cumulative Distribution Functions. Trans. Mach. Learn. Res. 2024 (2024)
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar
Neural Operators with Localized Integral and Differential Kernels. CoRR (2024)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. ICLR (2024)
Ziqi Ma, Kamyar Azizzadenesheli, Anima Anandkumar
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction. CoRR (2024)
Yan Yang, Angela F. Gao, Kamyar Azizzadenesheli, Robert W. Clayton, Zachary E. Ross
Rapid Seismic Waveform Modeling and Inversion With Neural Operators. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta, Alexandros Psomas, Qian Zhang
Reward Selection with Noisy Observations. CoRR (2023)
Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, Zachary E. Ross, Kamyar Azizzadenesheli
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation. CoRR (2023)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Thompson Sampling for Partially Observable Linear-Quadratic Control. ACC (2023)
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs. J. Mach. Learn. Res. 24 (2023)
Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli
Competitive Gradient Optimization. ICML (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Jean Kossaifi, Nikola B. Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs. CoRR (2023)
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
Fast Sampling of Diffusion Models via Operator Learning. ICML (2023)
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
Compactly Restrictable Metric Policy Optimization Problems. IEEE Trans. Autom. Control. 68 (5) (2023)
Miguel Liu-Schiaffini, Clare E. Singer, Nikola B. Kovachki, Tapio Schneider, Kamyar Azizzadenesheli, Anima Anandkumar
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces. CoRR (2023)
Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. CoRR (2023)
Jae Hyun Lim, Nikola B. Kovachki, Ricardo Baptista, Christopher Beckham, Kamyar Azizzadenesheli, Jean Kossaifi, Vikram Voleti, Jiaming Song, Karsten Kreis, Jan Kautz, Christopher Pal, Arash Vahdat, Anima Anandkumar
Score-based Diffusion Models in Function Space. CoRR (2023)
Zongyi Li, Nikola Borislavov Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. CoRR (2023)
Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar
Neural Operators for Accelerating Scientific Simulations and Design. CoRR (2023)
Jianwen Li, Jalil Chavez-Galaviz, Kamyar Azizzadenesheli, Nina Mahmoudian
Dynamic Obstacle Avoidance for USVs Using Cross-Domain Deep Reinforcement Learning and Neural Network Model Predictive Controller. Sensors 23 (7) (2023)
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
U-NO: U-shaped Neural Operators. Trans. Mach. Learn. Res. 2023 (2023)
Zongyi Li, Nikola B. Kovachki, Christopher B. Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Animashree Anandkumar
Geometry-Informed Neural Operator for Large-Scale 3D PDEs. NeurIPS (2023)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC (2023)
Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar
Speeding up Fourier Neural Operators via Mixed Precision. CoRR (2023)
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
Compactly Restrictable Metric Policy Optimization Problems. CoRR (2022)
Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli
Functional Linear Regression of CDFs. CoRR (2022)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR (2022)
Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR (2022)
Pan Xu, Hongkai Zheng, Eric V. Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar
Langevin Monte Carlo for Contextual Bandits. ICML (2022)
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. 23 (2022)
Abhijeet Vyas, Kamyar Azizzadenesheli
Competitive Gradient Optimization. CoRR (2022)
Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Markov Decision Processes. CoRR (2022)
Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli
U-NO: U-shaped Neural Operators. CoRR (2022)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. AISTATS (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. CoRR (2022)
Kamyar Azizzadenesheli
Importance Weight Estimation and Generalization in Domain Adaptation Under Label Shift. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar
Fast Sampling of Diffusion Models via Operator Learning. CoRR (2022)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control. CoRR (2022)
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
Generative Adversarial Neural Operators. CoRR (2022)
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds. CoRR (2022)
Michael O'Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Neural-Fly enables rapid learning for agile flight in strong winds. Sci. Robotics 7 (66) (2022)
Zongyi Li, Miguel Liu-Schiaffini, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Learning Chaotic Dynamics in Dissipative Systems. NeurIPS (2022)
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators. CoRR (2022)
Pan Xu, Hongkai Zheng, Eric Mazumdar, Kamyar Azizzadenesheli, Anima Anandkumar
Langevin Monte Carlo for Contextual Bandits. CoRR (2022)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS (2022)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. COLT (2022)
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
Supervised Learning with General Risk Functionals. ICML (2022)
Md Ashiqur Rahman, Jasorsi Ghosh, Hrishikesh Viswanath, Kamyar Azizzadenesheli, Aniket Bera
PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators. CoRR (2022)
Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli
Generative Adversarial Neural Operators. Trans. Mach. Learn. Res. 2022 (2022)
Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS (2021)
Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR (2021)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Markov Neural Operators for Learning Chaotic Systems. CoRR (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. ACC (2021)
Gege Wen, Zongyi Li, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson
U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow. CoRR (2021)
Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton
Seismic wave propagation and inversion with Neural Operators. CoRR (2021)
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
Competitive policy optimization. UAI (2021)
Jafar Abbaszadeh Chekan, Kamyar Azizzadenesheli, Cedric Langbort
Joint Stabilization and Regret Minimization through Switching in Systems with Actuator Redundancy. CoRR (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. CoRR (2021)
Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
EikoNet: Solving the Eikonal Equation With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli, Jack B. Muir
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks. CoRR (2021)
Zongyi Li, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Fourier Neural Operator for Parametric Partial Differential Equations. ICLR (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. L4DC (2021)
Zongyi Li, Hongkai Zheng, Nikola B. Kovachki, David Jin, Haoxuan Chen, Burigede Liu, Kamyar Azizzadenesheli, Anima Anandkumar
Physics-Informed Neural Operator for Learning Partial Differential Equations. CoRR (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Model Learning Predictive Control in Nonlinear Dynamical Systems. CDC (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. CoRR (2021)
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue
Deep Bayesian Quadrature Policy Optimization. AAAI (2021)
Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR (2021)
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
Off-Policy Risk Assessment in Contextual Bandits. NeurIPS (2021)
Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Learning Maps Between Function Spaces. CoRR (2021)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Andrew M. Stuart, Kaushik Bhattacharya, Anima Anandkumar
Multipole Graph Neural Operator for Parametric Partial Differential Equations. NeurIPS (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Regret Minimization in Partially Observable Linear Quadratic Control. CoRR (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Neural Operator: Graph Kernel Network for Partial Differential Equations. CoRR (2020)
Kamyar Azizzadenesheli
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift. CoRR (2020)
Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue
Deep Bayesian Quadrature Policy Optimization. CoRR (2020)
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. NeurIPS (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Fourier Neural Operator for Parametric Partial Differential Equations. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Explore More and Improve Regret in Linear Quadratic Regulators. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. CoRR (2020)
Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar
Multipole Graph Neural Operator for Parametric Partial Differential Equations. CoRR (2020)
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. SC (2020)
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar
Competitive Policy Optimization. CoRR (2020)
Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross
EikoNet: Solving the Eikonal equation with Deep Neural Networks. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. CoRR (2020)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. CoRR (2019)
Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar
signSGD with Majority Vote is Communication Efficient and Fault Tolerant. ICLR (Poster) (2019)
Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar
Directivity Modes of Earthquake Populations with Unsupervised Learning. CoRR (2019)
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) (2019)
Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
Neural Lander: Stable Drone Landing Control Using Learned Dynamics. ICRA (2019)
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello
Learning Causal State Representations of Partially Observable Environments. CoRR (2019)
Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Stochastic Linear Bandits with Hidden Low Rank Structure. CoRR (2019)
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar
Sample-Efficient Deep RL with Generative Adversarial Tree Search. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kamyar Azizzadenesheli