Kamyar Azizzadenesheli

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Anima AnandkumarCalifornia Institute of Technology and NVIDIADirección de correo verificada de caltech.edu
Zongyi LiCaltechDirección de correo verificada de caltech.edu
Nikola KovachkiCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Burigede LiuGranta Design Assistant Professor, University of CambridgeDirección de correo verificada de cam.ac.uk
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeDirección de correo verificada de cmu.edu
Andrew M StuartComputing + Mathematical Sciences, CaltechDirección de correo verificada de caltech.edu
Kaushik BhattacharyaCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Jean KossaifiSenior Research Scientist at NVIDIADirección de correo verificada de nvidia.com
Jeremy BernsteinCSAIL, MITDirección de correo verificada de mit.edu
Yisong YueCalifornia Institute of Technology; Latitude AIDirección de correo verificada de caltech.edu
Zachary E. RossCalifornia Institute of TechnologyDirección de correo verificada de caltech.edu
Karthik KashinathPrincipal Scientist & Engineer, NVIDIADirección de correo verificada de nvidia.com
Sahin LaleCaltechDirección de correo verificada de caltech.edu
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringDirección de correo verificada de caltech.edu
Soheil EsmaeilzadehFacebook AI - Stanford Ph.D. AlumDirección de correo verificada de stanford.edu
Soon-Jo ChungBren Professor of Control and Dynamical Systems at Caltech; JPL Senior Research ScientistDirección de correo verificada de caltech.edu
Guanya ShiAssistant Professor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Peter HarringtonNERSC, Lawrence Berkeley National LaboratoryDirección de correo verificada de lbl.gov
Yu-Xiang WangAssociate Professor of Computer Science, UC Santa BarbaraDirección de correo verificada de cs.ucsb.edu
Xichen ShiWaymo IncDirección de correo verificada de waymo.com

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Kamyar Azizzadenesheli

Nvidia

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Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1628	2020
signSGD: Compressed optimisation for non-convex problems J Bernstein, YX Wang, K Azizzadenesheli, A Anandkumar International Conference on Machine Learning, 560-569, 2018	976	2018
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	654	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	500	2023
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	490	2020
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	349	2022
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	337	2021
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	309	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	274	2019
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, 2021	249	2021
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	221	2022
Regularized learning for domain adaptation under label shifts K Azizzadenesheli, A Liu, F Yang, A Anandkumar arXiv preprint arXiv:1903.09734, 2019	201	2019
Efficient Exploration through Bayesian Deep Q-Networks K Azizzadenesheli, A Anandkumar Neural Information Processing Systems (NIPS) 2017 Workshop, 2018	196	2018
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	190	2018
Eikonet: Solving the eikonal equation with deep neural networks JD Smith, K Azizzadenesheli, ZE Ross IEEE Transactions on Geoscience and Remote Sensing 2020, 2020	135	2020
Reinforcement learning of POMDPs using spectral methods K Azizzadenesheli, A Lazaric, A Anandkumar 29th Annual Conference on Learning Theory (COLT) 2016, 2016	131	2016
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	106	2022
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems S Lale, K Azizzadenesheli, B Hassibi, A Anandkumar Neural Information Processing Systems (Neurips) 2020, 2020	100	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	95	2020
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	90	2020

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