| Power-bert: Accelerating bert inference via progressive word-vector elimination S Goyal, AR Choudhury, S Raje, V Chakaravarthy, Y Sabharwal, A Verma International Conference on Machine Learning, 3690-3699, 2020 | 67 | 2020 |
| Decentralised firewall for malware detection S Raje, S Vaderia, N Wilson, R Panigrahi 2017 International conference on advances in computing, communication and …, 2017 | 32 | 2017 |
| Efficient scaling of dynamic graph neural networks VT Chakaravarthy, SS Pandian, S Raje, Y Sabharwal, T Suzumura, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 16 | 2021 |
| On optimizing distributed non-negative tucker decomposition VT Chakaravarthy, SS Pandian, S Raje, Y Sabharwal Proceedings of the ACM International Conference on Supercomputing, 238-249, 2019 | 7 | 2019 |
| Sparsity-aware tensor decomposition SE Kurt, S Raje, A Sukumaran-Rajam, P Sadayappan 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 6 | 2022 |
| Development of on board computer for a nanosatellite S Raje, A Goel, S Sharma, K Aggarwal, D Mantri, T Kumar arXiv preprint arXiv:1911.11225, 2019 | 5 | 2019 |
| Accelerating inference of neural network models via dynamic early exits SM Raje, S Goyal, AR Choudhury, Y Sabharwal, A Verma US Patent App. 17/307,501, 2022 | 2 | 2022 |
| Training of deep learning pipelines on memory-constrained gpus via segmented fused-tiled execution Y Xu, S Raje, A Rountev, G Sabin, A Sukumaran-Rajam, P Sadayappan Proceedings of the 31st ACM SIGPLAN International Conference on Compiler …, 2022 | 2 | 2022 |
| A rapid prototyping approach for High Performance Density-based clustering S Islam, S Balasubramaniam, P Goyal, A Sultana, L Bhutani, S Raje, ... 2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019 | 2 | 2019 |
| In-Loop Simulation of Attitude Control of a Nanosatellite VJ Badami, K Aggarwal, S Sharma, SM Raie, T Goyal 2019 IEEE Aerospace Conference, 1-9, 2019 | 2 | 2019 |
| Hyperaspo: Fusion of model and hyper parameter optimization for multi-objective machine learning A Kannan, AR Choudhury, V Saxena, S Raje, P Ram, A Verma, ... 2021 IEEE International Conference on Big Data (Big Data), 790-800, 2021 | 1 | 2021 |
| CoNST: Code Generator for Sparse Tensor Networks S Raje, Y Xu, A Rountev, EF Valeev, S Sadayappan arXiv preprint arXiv:2401.04836, 2024 | | 2024 |
| Accelerating inference of transformer-based models S Goyal, AR Choudhury, SM Raje, VT Chakaravarthy, Y Sabharwal, ... US Patent 11,763,082, 2023 | | 2023 |
| Multi-objective machine learning with model and hyperparameter optimization fusion A Kannan, V Saxena, AR Choudhury, Y Sabharwal, P Ram, A Verma, ... US Patent App. 17/470,763, 2023 | | 2023 |
| Multi-objective automated machine learning V Saxena, A Kannan, SM Raje, P Ram, Y Sabharwal, A Verma US Patent App. 17/115,673, 2022 | | 2022 |
| Input ordering neural network decomposition VT Chakaravarthy, AR Choudhury, S Goyal, SM Raje, Y Sabharwal, ... US Patent App. 17/026,589, 2022 | | 2022 |
| Kvik: A task based middleware with composable scheduling policies S Raje, F Wagner arXiv preprint arXiv:2009.05504, 2020 | | 2020 |
Yogish SabharwalIBM Research - IndiaVerified email at in.ibm.com
