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Kamyar Azizzadenesheli
Kamyar Azizzadenesheli
nvidia.com의 이메일 확인됨 - 홈페이지
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signSGD: Compressed optimisation for non-convex problems
J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar
International Conference on Machine Learning, 560-569, 2018
6282018
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations (ICLR) 2018, 2018
5042018
Fourier neural operator for parametric partial differential equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
arXiv preprint arXiv:2010.08895, 2020
4962020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ...
The International Conference on Learning Representations (ICLR) 2020, Workshop, 2020
197*2020
Neural lander: Stable drone landing control using learned dynamics
G Shi, X Shi, M O’Connell, R Yu, K Azizzadenesheli, A Anandkumar, ...
2019 International Conference on Robotics and Automation (ICRA), 9784-9790, 2019
1712019
Efficient Exploration through Bayesian Deep Q-Networks
K Azizzadenesheli, A Anandkumar
Neural Information Processing Systems (NIPS) 2017 Workshop, 2018
1512018
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
1292020
Regularized learning for domain adaptation under label shifts
K Azizzadenesheli, A Liu, F Yang, A Anandkumar
arXiv preprint arXiv:1903.09734, 2019
1262019
Physics-informed machine learning: case studies for weather and climate modelling
K Kashinath, M Mustafa, A Albert, JL Wu, C Jiang, S Esmaeilzadeh, ...
Philosophical Transactions of the Royal Society A 379 (2194), 20200093, 2021
1162021
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
J Bernstein, J Zhao, K Azizzadenesheli, A Anandkumar
International Conference on Learning Representations (ICLR) 2019, 2018
1152018
Reinforcement learning of POMDPs using spectral methods
K Azizzadenesheli, A Lazaric, A Anandkumar
29th Annual Conference on Learning Theory (COLT) 2016, 2016
1042016
Neural operator: Learning maps between function spaces
N Kovachki, Z Li, B Liu, K Azizzadenesheli, K Bhattacharya, A Stuart, ...
arXiv preprint arXiv:2108.08481, 2021
972021
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
ZC Lipton, K Azizzadenesheli, A Kumar, L Li, J Gao, L Deng
Neural Information Processing Systems (NIPS) 2016 Workshop, 2016
74*2016
Eikonet: Solving the eikonal equation with deep neural networks
JD Smith, K Azizzadenesheli, ZE Ross
IEEE Transactions on Geoscience and Remote Sensing 2020, 2020
672020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar
Neural Information Processing Systems (Neurips) 2020, 2020
642020
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
442022
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
CM Jiang, S Esmaeilzadeh, K Azizzadenesheli, K Kashinath, M Mustafa, ...
SC20 The International Conference for High Performance Computing, Networking …, 2020
442020
Physics-informed neural operator for learning partial differential equations
Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ...
arXiv preprint arXiv:2111.03794, 2021
402021
U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow
G Wen, Z Li, K Azizzadenesheli, A Anandkumar, SM Benson
Advances in Water Resources 163, 104180, 2022
342022
Learning causal state representations of partially observable environments
A Zhang, ZC Lipton, L Pineda, K Azizzadenesheli, A Anandkumar, L Itti, ...
arXiv preprint arXiv:1906.10437, 2019
342019
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