Sunil Thulasidasan
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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
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
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
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
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
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
Optimizing GridFTP through dynamic right-sizing
S Thulasidasan, W Feng, MK Gardner
High Performance Distributed Computing, 2003. Proceedings. 12th IEEE …, 2003
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
Criticality analysis of internet infrastructure
G Yan, S Eidenbenz, S Thulasidasan, P Datta, V Ramaswamy
Computer Networks 54 (7), 1169-1182, 2010
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
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
Exploring celebrity dynamics on Twitter
MS Srinivasan, S Srinivasa, S Thulasidasan
Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop …, 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
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
User-space auto-tuning for TCP flow control in computational grids
MK Gardner, S Thulasidasan, W Feng
Computer Communications 27 (14), 1364-1374, 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
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
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
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
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
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