Adrian Albert

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Karthik KashinathPrincipal Scientist & Engineer, NVIDIAPatvirtintas el. paštas nvidia.com
Ram RajagopalAssociate Professor, Stanford UniversityPatvirtintas el. paštas stanford.edu
Rose YuAssociate Professor, University of California, San DiegoPatvirtintas el. paštas ucsd.edu
Marta C. GonzalezUC Berkeley and Lawrence Berkeley National LaboratoryPatvirtintas el. paštas berkeley.edu
Jasleen KaurSchool of Informatics & Computing, Indiana University BloomingtonPatvirtintas el. paštas umail.iu.edu
Gireesh ShrimaliPrecourt Scholar, Stanford UniversityPatvirtintas el. paštas stanford.edu
Sangram GangulyChief Technology Officer at Rhombus PowerPatvirtintas el. paštas rhombuspower.com
Amin ElshorbagyUniversity of SaskatchewanPatvirtintas el. paštas usask.ca
Jinlong WuUniversity of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Chaopeng ShenProfessor in Water Resources Engineering, Pennsylvania State UniversityPatvirtintas el. paštas engr.psu.edu
Emanuele StranoMindEarthPatvirtintas el. paštas mindearth.org
Raffi SevlianSLAC National LaboratoryPatvirtintas el. paštas stanford.edu
Jia Shuo YueSoftware Engineer, GooglePatvirtintas el. paštas alumni.stanford.edu
Mehdi MaasoumyPhD, University of California, BerkeleyPatvirtintas el. paštas berkeley.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Jungsuk KwacStanford UniversityPatvirtintas el. paštas alumni.stanford.edu
Andreas SchaferProfessor of Energy and Transport, University College LondonPatvirtintas el. paštas ucl.ac.uk
Karl-Heinz GlassmeierIGeP, Technische Universität BraunschweigPatvirtintas el. paštas tu-bs.de
Huan LiuRegents Professor, Arizona State UniversityPatvirtintas el. paštas asu.edu

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Adrian Albert

terrafuse.ai, Massachusetts Institute of Technology, Lawrence Berkeley National Lab

Patvirtintas el. paštas mit.edu - Pagrindinis puslapis

Machine learning computer vision generative models remote sensing climate modeling


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Is disaggregation the holy grail of energy efficiency? The case of electricity KC Armel, A Gupta, G Shrimali, A Albert Energy policy 52, 213-234, 2013	836	2013
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	521	2021
Towards physics-informed deep learning for turbulent flow prediction R Wang, K Kashinath, M Mustafa, A Albert, R Yu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	420	2020
Smart meter driven segmentation: What your consumption says about you A Albert, R Rajagopal IEEE Transactions on power systems 28 (4), 4019-4030, 2013	346	2013
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale A Albert, J Kaur, M Gonzalez	255	2017
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C Shen, E Laloy, A Elshorbagy, A Albert, J Bales, FJ Chang, S Ganguly, ... Hydrology and Earth System Sciences 22 (11), 5639-5656, 2018	233	2018
Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems JL Wu, K Kashinath, A Albert, D Chirila, H Xiao Journal of Computational Physics 406, 109209, 2020	146	2020
Thermal profiling of residential energy use A Albert, R Rajagopal IEEE Transactions on power systems 30 (2), 602-611, 2014	74	2014
Modeling urbanization patterns with generative adversarial networks A Albert, E Strano, J Kaur, M González IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018	50	2018
Method and system for profiling and scheduling of thermal residential energy use for demand-side management programs A Albert, R Rajagopal US Patent App. 14/716,763, 2015	50	2015
Steptacular: An incentive mechanism for promoting wellness N Gomes, D Merugu, G O'Brien, C Mandayam, JS Yue, B Atikoglu, ... 2012 Fourth International Conference on Communication Systems and Networks …, 2012	45	2012
Predictive segmentation of energy consumers A Albert, M Maasoumy Applied energy 177, 435-448, 2016	40	2016
Analysis of three-spacecraft data using planar reciprocal vectors: Methodological framework and spatial gradient estimation J Vogt, A Albert, O Marghitu Annales Geophysicae 27 (8), 3249-3273, 2009	38	2009
Prabhat, and H. Xiao,“Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems,” JL Wu, K Kashinath, A Albert, D Chirila J. Comput. Phys 406 (109209), 10.1016, 2020	36	2020
Interpretable forward and inverse design of particle spectral emissivity using common machine-learning models M Elzouka, C Yang, A Albert, RS Prasher, SD Lubner Cell Reports Physical Science 1 (12), 2020	32	2020
Finding the right consumers for thermal demand-response: an experimental evaluation A Albert, R Rajagopal IEEE Transactions on Smart Grid, 2016	28	2016
Building dynamic thermal profiles of energy consumption for individuals and neighborhoods A Albert, R Rajagopal 2013 IEEE International Conference on Big Data, 723-728, 2013	27	2013
Cost-of-service segmentation of energy consumers A Albert, R Rajagopal IEEE Transactions on Power Systems 29 (6), 2795-2803, 2014	25*	2014
Drivers of variability in energy consumption A Albert, T Gebru, J Ku, J Kwac, J Leskovec, R Rajagopal ECML-PKDD DARE workshop on energy analytics, 2013	23	2013
Downscaling numerical weather models with conditional generative adversarial networks. A Singh, A Albert, B White CLI info, 2019	22	2019

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