| 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 | 611 | 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 | 215 | 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 | 109 | 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 | 49 | 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 | 43 | 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 | 29 | 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 | 28 | 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 | 27 | 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 |
| An analytical memory hierarchy model for performance prediction G Chennupati, N Santhi, S Eidenbenz, S Thulasidasan 2017 Winter Simulation Conference (WSC), 908-919, 2017 | 20 | 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 | 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 |
| 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 | 11 | 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 | 10 | 2016 |
Gopinath Chennupati (గోపినాథ్ చె...Applied Scientist, AmazonVerified email at amazon.com
