Mohammad Ramezanali

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Reza AsgariProfessor of Physics, IPMEmail verificata su ipm.ir
Moe VazifehCTO at Adaviv | Past Researcher MIT/Amazon Alexa AIEmail verificata su mit.edu
Allan H. MacDonaldUniversity of Texas Austin, Indiana University, NRC Canada, U of TorontoEmail verificata su physics.utexas.edu
Marco PoliniProfessor, Department of Physics, The University of PisaEmail verificata su unipi.it
Partha P MitraCrick-Clay Professor of Biomathematics, Cold Spring Harbor LaboratoryEmail verificata su cshl.edu
Anirvan M. SenguptaProfessor of Physics and Astronomy, Rutgers UniversityEmail verificata su physics.rutgers.edu
Bilal TanatarBilkent UniversityEmail verificata su fen.bilkent.edu.tr

Mohammad Ramezanali

Salesforce, Past: Simons Foundation

Email verificata su salesforce.com


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Finite-temperature screening and the specific heat of doped graphene sheets MR Ramezanali, MM Vazifeh, R Asgari, M Polini, AH MacDonald Journal of Physics A: Mathematical and Theoretical 42 (21), 214015, 2009	109	2009
Effect of disorder on the ground-state properties of graphene R Asgari, MM Vazifeh, MR Ramezanali, E Davoudi, B Tanatar Physical Review B 77 (12), 125432, 2008	22	2008
The cavity method for analysis of large-scale penalized regression M Ramezanali, PP Mitra, AM Sengupta arXiv preprint arXiv:1501.03194, 2015	8	2015
Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction M Ramezanali, PP Mitra, AM Sengupta Journal of Statistical Physics 175, 764-788, 2019	4	2019
FNetAR: Mixing Tokens with Autoregressive Fourier Transforms T Lou, M Park, M Ramezanali, V Tang arXiv preprint arXiv:2107.10932, 2021	3	2021
Mean field analysis of sparse reconstruction with correlated variables M Ramezanali, PP Mitra, AM Sengupta 2016 24th European Signal Processing Conference (EUSIPCO), 1267-1271, 2016	2	2016
The cavity method for phase transitions in sparse reconstruction algorithms M Ramezanali, PP Mitra, AM Sengupta arXiv preprint arXiv:1501.03194, 2015	1	2015
Extracting sparse signals from high-dimensional data: A statistical mechanics approach M Ramezanali Rutgers The State University of New Jersey, School of Graduate Studies, 2015		2015

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