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Books and Theses
- 2019
[b1]Kamyar Azizzadenesheli:
Reinforcement Learning in Structured and Partially Observable Environments. University of California, Irvine, USA, 2019
Journal Articles
- 2024
- [j12]Kamyar Azizzadenesheli, William Lu, Anuran Makur, Qian Zhang:
Sparse Contextual CDF Regression. Trans. Mach. Learn. Res. 2024 (2024) - [j11]Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli:
Functional Linear Regression of Cumulative Distribution Functions. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j10]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: 89:1-89:97 (2023) - [j9]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): 3572 (2023) - [j8]Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue:
Compactly Restrictable Metric Policy Optimization Problems. IEEE Trans. Autom. Control. 68(5): 3115-3122 (2023) - [j7]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: 1-12 (2023) - [j6]Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli:
U-NO: U-shaped Neural Operators. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j5]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. 23: 212:1-212:24 (2022) - [j4]Kamyar Azizzadenesheli:
Importance Weight Estimation and Generalization in Domain Adaptation Under Label Shift. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6578-6584 (2022) - [j3]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) - [j2]Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli:
Generative Adversarial Neural Operators. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j1]Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross:
EikoNet: Solving the Eikonal Equation With Deep Neural Networks. IEEE Trans. Geosci. Remote. Sens. 59(12): 10685-10696 (2021)
Conference and Workshop Papers
- 2024
- [c36]Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton:
Timing as an Action: Learning When to Observe and Act. AISTATS 2024: 3979-3987 - [c35]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 - [c34]Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar:
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators. ICLR 2024 - [c33]Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar:
Neural Operators with Localized Integral and Differential Kernels. ICML 2024 - [c32]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. ICML 2024 - 2023
- [c31]Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi:
Thompson Sampling for Partially Observable Linear-Quadratic Control. ACC 2023: 4561-4568 - [c30]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: 1334-1341 - [c29]Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli:
Competitive Gradient Optimization. ICML 2023: 35243-35276 - [c28]Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar:
Fast Sampling of Diffusion Models via Operator Learning. ICML 2023: 42390-42402 - [c27]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 - 2022
- [c26]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment for Markov Decision Processes. AISTATS 2022: 5022-5050 - [c25]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar:
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. AISTATS 2022: 5354-5390 - [c24]Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi:
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. COLT 2022: 3235-3284 - [c23]Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli:
Supervised Learning with General Risk Functionals. ICML 2022: 12570-12592 - [c22]Pan Xu, Hongkai Zheng, Eric V. Mazumdar, Kamyar Azizzadenesheli, Animashree Anandkumar:
Langevin Monte Carlo for Contextual Bandits. ICML 2022: 24830-24850 - [c21]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 - 2021
- [c20]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. AAAI 2021: 6600-6608 - [c19]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. ACC 2021: 2517-2522 - [c18]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Model Learning Predictive Control in Nonlinear Dynamical Systems. CDC 2021: 757-762 - [c17]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 - [c16]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. L4DC 2021: 967-979 - [c15]Guanya Shi, Kamyar Azizzadenesheli, Michael O'Connell, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. NeurIPS 2021: 10013-10025 - [c14]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Contextual Bandits. NeurIPS 2021: 23714-23726 - [c13]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive policy optimization. UAI 2021: 64-74 - 2020
- [c12]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. NeurIPS 2020 - [c11]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 - [c10]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: 9 - 2019
- [c9]Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar:
Regularized Learning for Domain Adaptation under Label Shifts. ICLR (Poster) 2019 - [c8]Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar:
signSGD with Majority Vote is Communication Efficient and Fault Tolerant. ICLR (Poster) 2019 - [c7]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: 9784-9790 - 2018
- [c6]Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar:
Compression by the signs: distributed learning is a two-way street. ICLR (Workshop) 2018 - [c5]Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar:
Stochastic Activation Pruning for Robust Adversarial Defense. ICLR (Poster) 2018 - [c4]Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Animashree Anandkumar:
SIGNSGD: Compressed Optimisation for Non-Convex Problems. ICML 2018: 559-568 - [c3]Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar:
Efficient Exploration Through Bayesian Deep Q-Networks. ITA 2018: 1-9 - 2016
- [c2]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Reinforcement Learning of POMDPs using Spectral Methods. COLT 2016: 193-256 - [c1]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. COLT 2016: 1639-1642
Data and Artifacts
- 2022
- [d1]Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Learning Dissipative Dynamics in Chaotic Systems (Datasets). Zenodo, 2022
Informal and Other Publications
- 2024
- [i70]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 abs/2401.11037 (2024) - [i69]Ziqi Ma, Kamyar Azizzadenesheli, Anima Anandkumar:
Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction. CoRR abs/2402.01960 (2024) - [i68]Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar:
Neural Operators with Localized Integral and Differential Kernels. CoRR abs/2402.16845 (2024) - [i67]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 abs/2403.12553 (2024) - [i66]Yaozhong Shi, Angela F. Gao, Zachary E. Ross, Kamyar Azizzadenesheli:
Universal Functional Regression with Neural Operator Flows. CoRR abs/2404.02986 (2024) - [i65]Jingtong Sun, Julius Berner, Lorenz Richter, Marius Zeinhofer, Johannes Müller, Kamyar Azizzadenesheli, Anima Anandkumar:
Dynamical Measure Transport and Neural PDE Solvers for Sampling. CoRR abs/2407.07873 (2024) - 2023
- [i64]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 abs/2302.07400 (2023) - [i63]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 abs/2305.18246 (2023) - [i62]Kamyar Azizzadenesheli, Trung Dang, Aranyak Mehta, Alexandros Psomas, Qian Zhang:
Reward Selection with Noisy Observations. CoRR abs/2307.05953 (2023) - [i61]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 J. 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 abs/2307.08423 (2023) - [i60]Colin White, Renbo Tu, Jean Kossaifi, Gennady Pekhimenko, Kamyar Azizzadenesheli, Anima Anandkumar:
Speeding up Fourier Neural Operators via Mixed Precision. CoRR abs/2307.15034 (2023) - [i59]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 abs/2308.08794 (2023) - [i58]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 abs/2309.00583 (2023) - [i57]Yaozhong Shi, Grigorios Lavrentiadis, Domniki Asimaki, Zachary E. Ross, Kamyar Azizzadenesheli:
Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation. CoRR abs/2309.03447 (2023) - [i56]Kamyar Azizzadenesheli, Nikola B. Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar:
Neural Operators for Accelerating Scientific Simulations and Design. CoRR abs/2309.15325 (2023) - [i55]Jean Kossaifi, Nikola B. Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar:
Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs. CoRR abs/2310.00120 (2023) - 2022
- [i54]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 abs/2202.11214 (2022) - [i53]Md Ashiqur Rahman, Zachary E. Ross, Kamyar Azizzadenesheli:
U-NO: U-shaped Neural Operators. CoRR abs/2204.11127 (2022) - [i52]Md Ashiqur Rahman, Manuel A. Florez, Anima Anandkumar, Zachary E. Ross, Kamyar Azizzadenesheli:
Generative Adversarial Neural Operators. CoRR abs/2205.03017 (2022) - [i51]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 abs/2205.06908 (2022) - [i50]Abhijeet Vyas, Kamyar Azizzadenesheli:
Competitive Gradient Optimization. CoRR abs/2205.14232 (2022) - [i49]Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli:
Functional Linear Regression of CDFs. CoRR abs/2205.14545 (2022) - [i48]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 abs/2206.01704 (2022) - [i47]Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi:
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control. CoRR abs/2206.08520 (2022) - [i46]Pan Xu, Hongkai Zheng, Eric Mazumdar, Kamyar Azizzadenesheli, Anima Anandkumar:
Langevin Monte Carlo for Contextual Bandits. CoRR abs/2206.11254 (2022) - [i45]Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli:
Supervised Learning with General Risk Functionals. CoRR abs/2206.13648 (2022) - [i44]Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue:
Compactly Restrictable Metric Policy Optimization Problems. CoRR abs/2207.05850 (2022) - [i43]Audrey Huang, Liu Leqi, Zachary Chase Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Markov Decision Processes. CoRR abs/2209.10444 (2022) - [i42]Gege Wen, Zongyi Li, Qirui Long, Kamyar Azizzadenesheli, Anima Anandkumar, Sally M. Benson:
Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators. CoRR abs/2210.17051 (2022) - [i41]Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar:
Fast Sampling of Diffusion Models via Operator Learning. CoRR abs/2211.13449 (2022) - [i40]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 abs/2211.16210 (2022) - 2021
- [i39]Jonathan D. Smith, Zachary E. Ross, Kamyar Azizzadenesheli, Jack B. Muir:
HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks. CoRR abs/2101.03271 (2021) - [i38]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR abs/2102.08462 (2021) - [i37]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk. CoRR abs/2103.02827 (2021) - [i36]Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli:
Off-Policy Risk Assessment in Contextual Bandits. CoRR abs/2104.08977 (2021) - [i35]Jafar Abbaszadeh Chekan, Kamyar Azizzadenesheli, Cedric Langbort:
Joint Stabilization and Regret Minimization through Switching in Systems with Actuator Redundancy. CoRR abs/2105.14709 (2021) - [i34]Guanya Shi, Kamyar Azizzadenesheli, Soon-Jo Chung, Yisong Yue:
Meta-Adaptive Nonlinear Control: Theory and Algorithms. CoRR abs/2106.06098 (2021) - [i33]Zongyi Li, Nikola B. Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Markov Neural Operators for Learning Chaotic Systems. CoRR abs/2106.06898 (2021) - [i32]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 abs/2108.05421 (2021) - [i31]Nikola B. Kovachki, Zongyi Li, Burigede Liu, Kamyar Azizzadenesheli, Kaushik Bhattacharya, Andrew M. Stuart, Anima Anandkumar:
Neural Operator: Learning Maps Between Function Spaces. CoRR abs/2108.08481 (2021) - [i30]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. CoRR abs/2108.11959 (2021) - [i29]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 abs/2109.03697 (2021) - [i28]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 abs/2111.03794 (2021) - 2020
- [i27]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Regret Minimization in Partially Observable Linear Quadratic Control. CoRR abs/2002.00082 (2020) - [i26]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 abs/2003.03485 (2020) - [i25]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. CoRR abs/2003.05999 (2020) - [i24]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. CoRR abs/2003.11227 (2020) - [i23]Jonathan D. Smith, Kamyar Azizzadenesheli, Zachary E. Ross:
EikoNet: Solving the Eikonal equation with Deep Neural Networks. CoRR abs/2004.00361 (2020) - [i22]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 abs/2005.01463 (2020) - [i21]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 abs/2006.09535 (2020) - [i20]Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar:
Competitive Policy Optimization. CoRR abs/2006.10611 (2020) - [i19]Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Anima Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. CoRR abs/2006.15637 (2020) - [i18]Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar:
Explore More and Improve Regret in Linear Quadratic Regulators. CoRR abs/2007.12291 (2020) - [i17]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 abs/2010.08895 (2020) - [i16]Kamyar Azizzadenesheli:
Importance Weight Estimation and Generalization in Domain Adaptation under Label Shift. CoRR abs/2011.14251 (2020) - 2019
- [i15]Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi:
Stochastic Linear Bandits with Hidden Low Rank Structure. CoRR abs/1901.09490 (2019) - [i14]Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang, Animashree Anandkumar:
Regularized Learning for Domain Adaptation under Label Shifts. CoRR abs/1903.09734 (2019) - [i13]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 abs/1906.10437 (2019) - [i12]Zachary E. Ross, Daniel T. Trugman, Kamyar Azizzadenesheli, Anima Anandkumar:
Directivity Modes of Earthquake Populations with Unsupervised Learning. CoRR abs/1907.00496 (2019) - 2018
- [i11]Kamyar Azizzadenesheli, Emma Brunskill, Animashree Anandkumar:
Efficient Exploration through Bayesian Deep Q-Networks. CoRR abs/1802.04412 (2018) - [i10]Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar:
signSGD: compressed optimisation for non-convex problems. CoRR abs/1802.04434 (2018) - [i9]Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar:
Stochastic Activation Pruning for Robust Adversarial Defense. CoRR abs/1803.01442 (2018) - [i8]Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar:
Sample-Efficient Deep RL with Generative Adversarial Tree Search. CoRR abs/1806.05780 (2018) - [i7]Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar:
signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant. CoRR abs/1810.05291 (2018) - [i6]Kamyar Azizzadenesheli, Manish Kumar Bera, Animashree Anandkumar:
Trust Region Policy Optimization of POMDPs. CoRR abs/1810.07900 (2018) - [i5]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. CoRR abs/1811.08027 (2018) - 2017
- [i4]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Experimental results : Reinforcement Learning of POMDPs using Spectral Methods. CoRR abs/1705.02553 (2017) - 2016
- [i3]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Reinforcement Learning of POMDP's using Spectral Methods. CoRR abs/1602.07764 (2016) - [i2]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies. CoRR abs/1608.04996 (2016) - [i1]Kamyar Azizzadenesheli, Alessandro Lazaric, Animashree Anandkumar:
Reinforcement Learning of Contextual MDPs using Spectral Methods. CoRR abs/1611.03907 (2016)
Coauthor Index
Anima Anandkumar
aka: Animashree Anandkumar
aka: Animashree Anandkumar
[j10] [j3] [j2] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c25] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [d1] [i70] [i69] [i68] [i67] [i65] [i64] [i63] [i61] [i60] [i59] [i58] [i56] [i55] [i54] [i52] [i51] [i48] [i47] [i46] [i42] [i41] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Nikola B. Kovachki
aka: Nikola Borislavov Kovachki
aka: Nikola Borislavov Kovachki
Zachary C. Lipton
aka: Zachary Chase Lipton
aka: Zachary Chase Lipton
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