Sunil Thulasidasan

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Gopinath Chennupati (గోపినాథ్ చె...Applied Scientist, AmazonEmail verificata su amazon.com
Jeffrey A. BilmesProfessor of Electrical & Computer Engineering & Computer Science, University of Washington SeattleEmail verificata su uw.edu
Stephan EidenbenzComputer Science, Los Alamos National LaboratoryEmail verificata su lanl.gov
Tanmoy BhattacharyaLos Alamos National Laboratory, Santa Fe InstituteEmail verificata su santafe.edu
Hristo DjidjevScientist at IICT, Bulgarian Academy of Sciences and Los Alamos National LaboratoryEmail verificata su lanl.gov
Rumen Andonovprofesseur d'informatique, Université de Rennes 1Email verificata su irisa.fr
Madhav MaratheDistinguished Professor, Biocomplexity-Institute, Dept. Computer Science, University of VirginiaEmail verificata su virginia.edu
Anil Vullikanti (V. S. Anil Kumar)University of VirginiaEmail verificata su virginia.edu
Nandakishore SanthiStaff Scientist, Los Alamos National Laboratory; Affiliate Graduate Faculty at ECE Dept, NMSUEmail verificata su lanl.gov
Dominique LavenierIRISAEmail verificata su irisa.fr
Gabriel IstrateUniversity of BucharestEmail verificata su g.unibuc.ro
Susan MniszewskiScientist, Los Alamos National LaboratoryEmail verificata su lanl.gov
Shiva KasiviswanathanAmazon Machine LearningEmail verificata su amazon.com
Apu KapadiaProfessor of Computer Science, Indiana University BloomingtonEmail verificata su indiana.edu
Shripad ThiteUberEmail verificata su uber.com
Christopher L. BarrettBiocomplexity Institute and Initiative, Dept. of Computer Science, University of VirginiaEmail verificata su virginia.edu
Srinath SrinivasaIIIT BangaloreEmail verificata su iiitb.ac.in
Guanhua YanDepartment of Computer Science, Binghamton University, State University of New YorkEmail verificata su binghamton.edu
Pallab DattaIBM Almaden Research CenterEmail verificata su us.ibm.com
Richard J ZamoraNVIDIAEmail verificata su nvidia.com

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Sunil Thulasidasan

Cambrian AI

Email verificata su cambriantech.ai - Home page

Machine Learning IoT Distributed Algorithms


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
On mixup training: Improved calibration and predictive uncertainty for deep neural networks S Thulasidasan, G Chennupati, J Bilmes, T Bhattacharya, S Michalak NeurIPS 2019, 2019	581	2019
Combating Label Noise in Deep Learning Using Abstention S Thulasidasan, T Bhattacharya, J Bilmes, G Chennupati, J Mohd-Yusof International Conference on Machine Learning, 2019, 2019	209	2019
Strong edge coloring for channel assignment in wireless radio networks CL Barrett, G Istrate, VSA Kumar, MV Marathe, S Thite, S Thulasidasan Fourth Annual IEEE International Conference on Pervasive Computing and …, 2006	108	2006
GREEN: proactive queue management over a best-effort network W Feng, A Kapadia, S Thulasidasan Global Telecommunications Conference, 2002. GLOBECOM'02. IEEE 2, 1774-1778, 2002	83	2002
Efficient multi-GPU computation of all-pairs shortest paths H Djidjev, S Thulasidasan, G Chapuis, R Andonov, D Lavenier 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014	48	2014
An effective baseline for robustness to distributional shift S Thulasidasan, S Thapa, S Dhaubhadel, G Chennupati, T Bhattacharya, ... 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021	38	2021
All-Pairs Shortest Path algorithms for planar graph for GPU-accelerated clusters H Djidjev, G Chapuis, R Andonov, S Thulasidasan, D Lavenier Journal of Parallel and Distributed Computing 85, 91-103, 2015	37	2015
Optimizing GridFTP through dynamic right-sizing S Thulasidasan, W Feng, MK Gardner High Performance Distributed Computing, 2003. Proceedings. 12th IEEE …, 2003	33	2003
Criticality analysis of internet infrastructure G Yan, S Eidenbenz, S Thulasidasan, P Datta, V Ramaswamy Computer Networks 54 (7), 1169-1182, 2010	28	2010
Accelerating traffic microsimulations: A parallel discrete-event queue-based approach for speed and scale S Thulasidasan, S Eidenbenz Proceedings of the 2009 Winter Simulation Conference (WSC), 2457-2466, 2009	27	2009
Designing systems for large-scale, discrete-event simulations: Experiences with the FastTrans parallel microsimulator S Thulasidasan, S Kasiviswanathan, S Eidenbenz, E Galli, S Mniszewski, ... 2009 International Conference on High Performance Computing (HiPC), 428-437, 2009	26	2009
Exploring celebrity dynamics on Twitter MS Srinivasan, S Srinivasa, S Thulasidasan Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop …, 2013	23	2013
Explicit spatial scattering for load balancing in conservatively synchronized parallel discrete event simulations S Thulasidasan, SP Kasiviswanathan, S Eidenbenz, P Romero 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation, 1-8, 2010	22	2010
A scalable analytical memory model for CPU performance prediction G Chennupati, N Santhi, R Bird, S Thulasidasan, AHA Badawy, S Misra, ... High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2018	21	2018
Discrete event performance prediction of speculatively parallel temperature-accelerated dynamics RJ Zamora, AF Voter, D Perez, N Santhi, SM Mniszewski, S Thulasidasan, ... Simulation 92 (12), 1065-1086, 2016	20	2016
User-space auto-tuning for TCP flow control in computational grids MK Gardner, S Thulasidasan, W Feng Computer Communications 27 (14), 1364-1374, 2004	20	2004
An analytical memory hierarchy model for performance prediction G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan 2017 Winter Simulation Conference (WSC), 908-919, 2017	19	2017
A comparative study of two models for celebrity identification on Twitter MS Srinivasan, S Srinivasa, S Thulasidasan Proceedings of the 20th International Conference on Management of Data, 57-65, 2014	15	2014
Developing parallel, discrete event simulations in Python-first results and user experiences with the SimX library S Thulasidasan, L Kroc, S Eidenbenz 2014 4th International Conference On Simulation And Modeling Methodologies …, 2014	10	2014
A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance C Lavania, S Thulasidasan, A LaMarca, J Scofield, J Bilmes Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016	9	2016

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