Kamyar Azizzadenesheli

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Anima AnandkumarCalifornia Institute of Technology and NVIDIAE-mail confirmado em caltech.edu
Zongyi LiCaltechE-mail confirmado em caltech.edu
Nikola KovachkiCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeE-mail confirmado em cam.ac.uk
Kaushik BhattacharyaCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
Andrew M StuartComputing + Mathematical Sciences, CaltechE-mail confirmado em caltech.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeE-mail confirmado em cmu.edu
Karthik KashinathPrincipal Scientist & Engineer, NVIDIAE-mail confirmado em nvidia.com
Jean KossaifiSenior Research Scientist at NVIDIAE-mail confirmado em nvidia.com
Zachary E. RossCalifornia Institute of TechnologyE-mail confirmado em caltech.edu
Yisong YueCalifornia Institute of Technology; Asari AI; Latitude AIE-mail confirmado em caltech.edu
Jeremy BernsteinCSAIL, MITE-mail confirmado em mit.edu
Sahin LaleCaltechE-mail confirmado em caltech.edu
Jaideep PathakNVIDIAE-mail confirmado em nvidia.com
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringE-mail confirmado em caltech.edu
Soheil EsmaeilzadehFacebook AI - Stanford Ph.D. AlumE-mail confirmado em stanford.edu
Morteza MardaniStanford University, NVIDIAE-mail confirmado em stanford.edu
Soon-Jo ChungBren Professor of Control and Dynamical Systems at Caltech; JPL Senior Research ScientistE-mail confirmado em caltech.edu
Guanya ShiAssistant Professor, Robotics Institute, Carnegie Mellon UniversityE-mail confirmado em andrew.cmu.edu
Hongkai ZhengPhD student, California Institute of TechnologyE-mail confirmado em caltech.edu

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Kamyar Azizzadenesheli

Nvidia

E-mail confirmado em nvidia.com - Página inicial

Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	2369	2020
signSGD: Compressed optimisation for non-convex problems J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning, 560-569, 2018	1129	2018
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	794	2023
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	710	2018
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	704*	2022
Neural operator: Graph kernel network for partial differential equations Z Li, N Kovachki, K Azizzadenesheli, B Liu, K Bhattacharya, A Stuart, ... arXiv preprint arXiv:2003.03485, 2020	668	2020
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	470	2021
Physics-informed neural operator for learning partial differential equations Z Li, H Zheng, N Kovachki, D Jin, H Chen, B Liu, K Azizzadenesheli, ... ACM/JMS Journal of Data Science 1 (3), 1-27, 2024	432	2024
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	393	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	334	2019
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	332	2022
Regularized learning for domain adaptation under label shifts K Azizzadenesheli, A Liu, F Yang, A Anandkumar arXiv preprint arXiv:1903.09734, 2019	228	2019
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	209	2018
Efficient Exploration through Bayesian Deep Q-Networks K Azizzadenesheli, A Anandkumar Neural Information Processing Systems (NIPS) 2017 Workshop, 2018	206	2018
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	179	2022
Eikonet: Solving the eikonal equation with deep neural networks JD Smith, K Azizzadenesheli, ZE Ross IEEE Transactions on Geoscience and Remote Sensing 2020, 2020	172	2020
Reinforcement learning of POMDPs using spectral methods K Azizzadenesheli, A Lazaric, A Anandkumar 29th Annual Conference on Learning Theory (COLT) 2016, 2016	148	2016
Neural operator: Graph kernel network for partial differential equations A Anandkumar, K Azizzadenesheli, K Bhattacharya, N Kovachki, Z Li, ... ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020	128	2020
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	117	2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar Neural Information Processing Systems (Neurips) 2020, 2020	114	2020

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