Kamu erişimi zorunlu olan makaleler - Kamyar AzizzadenesheliDaha fazla bilgi edinin
Bir yerde sunuluyor: 22
signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 560-569, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Neural operator: Learning maps between function spaces with applications to pdes
N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ...
Journal of Machine Learning Research 24 (89), 1-97, 2023
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
Zorunlu olanlar: US Department of Energy, US Department of Defense
Multipole Graph Neural Operator for Parametric Partial Differential Equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
Neural Information Processing Systems (Neurips) 2020, 2020
Zorunlu olanlar: US Department of Defense
Neural-fly enables rapid learning for agile flight in strong winds
M O’Connell, G Shi, X Shi, K Azizzadenesheli, A Anandkumar, Y Yue, ...
Science Robotics 7 (66), eabm6597, 2022
Zorunlu olanlar: US Department of Defense
Reinforcement learning of POMDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
29th Annual Conference on Learning Theory (COLT) 2016, 2016
Zorunlu olanlar: US National Science Foundation
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Neural Information Processing Systems (Neurips) 2020, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
A learning-based multiscale method and its application to inelastic impact problems
B Liu, N Kovachki, Z Li, K Azizzadenesheli, A Anandkumar, AM Stuart, ...
Journal of the Mechanics and Physics of Solids 158, 104668, 2022
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Meta-adaptive nonlinear control: Theory and algorithms
G Shi, K Azizzadenesheli, M O'Connell, SJ Chung, Y Yue
Advances in Neural Information Processing Systems 34, 10013-10025, 2021
Zorunlu olanlar: US Department of Defense
Multi-agent multi-armed bandits with limited communication
M Agarwal, V Aggarwal, K Azizzadenesheli
Journal of Machine Learning Research 23 (212), 1-24, 2022
Zorunlu olanlar: US National Science Foundation
Reinforcement learning in rich-observation MDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
Multi-disciplinary Conference on Reinforcement Learning and Decision Making …, 2016
Zorunlu olanlar: US National Science Foundation
Surprising Negative Results for Generative Adversarial Tree Search
K Azizzadenesheli, B Yang, W Liu, Z Lipton, A Anandkumar
Neural Information Processing Systems (NeurIPS) 2018 Workshop, 2018
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Learning chaotic dynamics in dissipative systems
Z Li, M Liu-Schiaffini, N Kovachki, K Azizzadenesheli, B Liu, ...
Advances in Neural Information Processing Systems 35, 16768-16781, 2022
Zorunlu olanlar: US Department of Defense
Adaptive control and regret minimization in linear quadratic gaussian (lqg) setting
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
2021 American Control Conference (ACC), 2517-2522, 2021
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Directivity Modes of Earthquake Populations with Unsupervised Learning
ZE Ross, DT Trugman, K Azizzadenesheli, A Anandkumar
Journal of Geophysical Research 2020, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Energy, US Department of …
Competitive policy optimization
M Prajapat, K Azizzadenesheli, A Liniger, Y Yue, A Anandkumar
Uncertainty in Artificial Intelligence, 64-74, 2021
Zorunlu olanlar: US Department of Defense
Regret bound of adaptive control in linear quadratic gaussian (lqg) systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
arXiv, 2020
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
Trust region policy optimization for pomdps
K Azizzadenesheli, MK Bera, A Anandkumar
Zorunlu olanlar: US National Science Foundation, US Department of Defense
Feasibility of using Fourier neural operators for 3D elastic seismic simulations
Q Kong, A Rodgers
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2023
Zorunlu olanlar: US Department of Energy
Dynamic obstacle avoidance for usvs using cross-domain deep reinforcement learning and neural network model predictive controller
J Li, J Chavez-Galaviz, K Azizzadenesheli, N Mahmoudian
Sensors 23 (7), 3572, 2023
Zorunlu olanlar: US Department of Defense
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